Nothing
R/splot.R
In splot: Simplified Plotting for Data Exploration
Defines functions
splot
Documented in
splot
#' Split Plot
#'
#' A plotting function aimed at automating some common visualization tasks in order to ease data exploration.
#' @param y a formula (see note), or the primary variable(s) to be shown on the y axis (unless \code{x} is not specified).
#' When not a formula, this can be one or more variables as objects, or names in \code{data}.
#' @param data a \code{data.frame} to pull variables from. If variables aren't found in \code{data}, they will be looked
#' for in the environment.
#' @param su a subset to all variables, applied after they are all retrieved from \code{data} or the environment.
#' @param type determines the type of plot to make, between \code{"bar"}, \code{"line"}, \code{"density"}, or
#' \code{"scatter"}. If \code{"density"}, \code{x} is ignored. Anything including the first letter of each is accepted
#' (e.g., \code{type='l'}).
#' @param split how to split any continuous variables (those with more than \code{lim} levels as factors). Default is
#' \code{"median"}, with \code{"mean"}, \code{"standard deviation"}, \code{"quantile"}, or numbers as options. If
#' numbers, the variable is either cut at each value in a vector, or broken into roughly equal chunks. Entering an
#' integer (e.g., \code{split = 3L}) that is greater than 1 will force splitting into segments. Otherwise variables will
#' be split by value if you enter a single value for split and there are at least two data less than or equal to and
#' greater than the split, or if you enter more than 1 value for split. If a numeric split is not compatible with
#' splitting by value or segment, splitting will default to the median.
#' @param levels a list with entries corresponding to variable names, used to rename and/or reorder factor levels. To
#' reorder a factor, enter a vector of either numbers or existing level names in the new order (e.g.,
#' \code{levels =} \code{list(var =} \code{c(3,2,1))}). To rename levels of a factor, enter a character vector the same
#' length as the number of levels. To rename and reorder, enter a list, with names as the first entry, and order as the
#' second entry (e.g., \code{levels =} \code{list(var =} \code{list(c('a','b','c'),} \code{c(3,2,1)))}). This happens
#' after variables are split, so names and orders should correspond to the new split levels of split variables. For
#' example, if a continuous variable is median split, it now has two levels ('Under Median' and 'Over Median'), which are
#' the levels reordering or renaming would apply to. Multiple variables entered as \code{y} can be renamed and sorted
#' with an entry titled \code{'mv'}.
#' @param sort specified the order of character or factor \code{x} levels. By default, character or factor \code{x} levels
#' are sorted alphabetically. \code{FALSE} will prevent this (preserving entered order). \code{TRUE} or \code{'d'} will
#' sort by levels of \code{y} in decreasing order, and anything else will sort in increasing order.
#' @param error string; sets the type of error bars to show in bar or line plots, or turns them off. If \code{FALSE}, no
#' error bars will be shown. Otherwise, the default is \code{"standard error"} (\code{'^s'}), with \code{"confidence
#' intervals"} (anything else) as an option.
#' @param error.color color of the error bars. Default is \code{'#585858'}.
#' @param error.lwd line weight of error bars. Default is 2.
#' @param lim numeric; checked against the number of factor levels of each variable. Used to decide which variables should
#' be split, which colors to use, and when to turn off the legend. Default is \code{9}. If set over \code{20}, \code{lim}
#' is treated as infinite (set to \code{Inf}).
#' @param lines logical or a string specifying the type of lines to be drawn in scatter plots. By default (and whenever
#' \code{cov} is not missing, or if \code{lines} matches \code{'^li|^lm|^st'}), a prediction line is fitted with
#' \code{\link[stats]{lm}}. For (potentially) bendy lines, \code{'loess'} (matching \code{'^loe|^po|^cu'}) will use
#' \code{\link[stats]{loess}}, and \code{'spline'} (\code{'^sm|^sp|^in'}) will use \code{\link[stats]{smooth.spline}}.
#' If \code{y} is not numeric and has only 2 levels, \code{'probability'} (\code{'^pr|^log'}) will draw probabilities
#' estimated by a logistic regression (\code{glm(y ~} \code{x, binomial)}). \code{'connected'} (\code{'^e|^co|^d'}) will
#' draw lines connecting all points, and \code{FALSE} will not draw any lines.
#' @param colors sets a color theme or manually specifies colors. Default theme is \code{"pastel"}, with \code{"dark"} and
#' \code{"bright"} as options; these are passed to \code{\link{splot.color}}. If set to \code{"grey"}, or if \code{by}
#' has more than 9 levels, a grey scale is calculated using \code{\link[grDevices]{gray}}. See the \code{col} parameter
#' in \code{\link[graphics]{par}} for acceptable manual inputs. To set text and axis colors, \code{col} sets outside
#' texts (title, sud, labx, laby, and note), \code{col.sub} or \code{col.main} sets the frame titles, and \code{col.axis}
#' sets the axis text and line colors. To set the color of error bars, use \code{error.color}. For histograms, a vector of
#' two colors would apply to the density line and bars separately (e.g., for \code{color =} \code{c('red','green')}, the
#' density line would be red and the histogram bars would be green). See the \code{color.lock} and \code{color.offset}
#' arguments for more color controls.
#' @param colorby a variable or list of arguments used to set colors and the legend, alternatively to \code{by}. If
#' \code{by} is not missing, \code{colorby} will be reduced to only the unique combinations of \code{by} and \code{colorby}.
#' For example, if \code{by} is a participant ID with multiple observations per participant, and \code{by} is a condition
#' ID which is the same for all observations from a given participant, \code{colorby} would assign a single color to each
#' participant based on their condition. A list will be treated as a call to \code{\link{splot.color}}, so arguments can be
#' entered positionally or by name. Data entered directly into splot can be accessed by position name preceded by a
#' period. For example, \code{splot(rnorm(100),} \code{colorby=.y)} would draw a histogram, with bars colored by the value
#' of \code{y} (\code{rnorm(100)} in this case).
#' @param ... passes additional arguments to \code{\link[graphics]{par}} or \code{\link[graphics]{legend}}. Arguments before
#' this can be named partially; those after must by fully named.
#' @param colorby.leg logical; if \code{FALSE}, a legend for \code{colorby} is never drawn. Otherwise, a legend for
#' \code{colorby} will be drawn if there is no specified \code{by}, or for non-scatter plots (overwriting the usual legend).
#' @param color.lock logical; if \code{FALSE}, colors will not be adjusted to offset lines from points or histogram bars.
#' @param color.offset how much points or histogram bars should be offset from the initial color used for lines. Default is
#' 1.1; values greater than 1 lighten, and less than 1 darken.
#' @param color.summary specifies the function used to collapse multiple colors for a single display. Either a string
#' matching one of \code{'mean'} (which uses \code{\link{splot.colormean}} to average RGB values), \code{'median'} (
#' which treats codes as ordered, and selects that at the rounded median), or \code{'mode'} (which selects the most
#' common code), or a function which takes color codes in its first argument, and outputs a single color code as a
#' character.
#' @param opacity a number between 0 and 1; sets the opacity of points, lines, and bars. Semi-opaque lines will sometimes
#' not be displayed in the plot window, but will show up when the plot is written to a file.
#' @param dark logical; if \code{TRUE}, sets text and axis colors to \code{"white"}. Defaults to the \code{splot.dark}
#' option.
#' @param x secondary variable, to be shown in on the x axis. If not specified, \code{type} will be set to \code{'density'}.
#' If \code{x} is a factor or vector of characters, or has fewer than \code{lim} levels when treated as a factor,
#' \code{type} will be set to \code{'line'} unless specified.
#' @param by the 'splitting' variable within each plot, by which the plotted values of \code{x} and \code{y} will be
#' grouped.
#' @param between a single object or name, or two in a vector (e.g., \code{c(b1, b2)}), the levels of which will determine
#' the number of plot windows to be shown at once (the cells in a matrix of plots; levels of the first variable as rows,
#' and levels of the second as columns).
#' @param cov additional variables used for adjustment. Bar and line plots include all \code{cov} variables in their
#' regression models (via \code{\link[stats]{lm}}, e.g., \code{lm(y ~ 0 + x + cov1 + cov2)}) as covariates. Scatter plots
#' with lines include all \code{cov} variables in the regression model to adjust the prediction line (e.g.,
#' \code{lm(y ~ x + x^2)}).
#' \code{\link[graphics]{par}} options \code{col}, \code{mfrow}, \code{oma}, \code{mar}, \code{mgp}, \code{font.main},
#' \code{cex.main}, \code{font.lab}, \code{tcl}, \code{pch}, \code{lwd}, and \code{xpd} are all set within the function,
#' but will be overwritten if they are included in the call. For example, \code{col} sets font colors in this case
#' (as opposed to \code{colors} which sets line and point colors). The default is \code{'#303030'} for a nice dark grey,
#' but maybe you want to lighten that up: \code{col='#606060'}. After arguments have been applied to
#' \code{\link[graphics]{par}}, if any have not been used and match a \code{\link[graphics]{legend}} argument, these will
#' be applied to \code{\link[graphics]{legend}}.
#' @param line.type a character setting the style of line (e.g., with points at joints) to be drawn in line plots. Default
#' is \code{'b'} if \code{error} is \code{FALSE}, and \code{'l'} otherwise. See the \code{line} argument of
#' \code{\link[graphics]{plot.default}} for options. \code{line.type='c'} can look nice when there aren't a lot of
#' overlapping error bars.
#' @param mv.scale determines whether to center and scale multiple \code{y} variables. Does not center or scale by default.
#' Anything other than \code{'none'} will mean center each numeric \code{y} variable. Anything matching \code{'^t|z|sc'}
#' will also scale.
#' @param mv.as.x logical; if \code{TRUE}, variable names are displayed on the x axis, and \code{x} is treated as \code{by}.
#' @param save logical; if \code{TRUE}, an image of the plot is saved to the current working directory.
#' @param format the type of file to save plots as. Default is \code{cairo_pdf}; see
#' \code{\link[grDevices]{Devices}} for options.
#' @param dims a vector of 2 values (\code{c(width, height)}) specifying the dimensions of a plot to save in inches or
#' pixels depending on \code{format}. Defaults to the dimensions of the plot window.
#' @param file.name a string with the name of the file to be save (excluding the extension, as this is added depending on
#' \code{format}).
#' @param myl sets the range of the y axis (\code{ylim} of \code{\link{plot}} or \code{\link[graphics]{barplot}}).
#' If not specified, this will be calculated from the data.
#' @param mxl sets the range of the x axis (\code{xlim} of \code{\link{plot}}). If not specified, this will be
#' calculated from the data.
#' @param autori logical; if \code{FALSE}, the origin of plotted bars will be set to 0. Otherwise, bars are adjusted such
#' that they extend to the bottom of the y axis.
#' @param xlas,ylas numeric; sets the orientation of the x- and y-axis labels. See \code{\link[graphics]{par}}.
#' @param xaxis,yaxis logical; if \code{FALSE}, the axis will not be drawn.
#' @param breaks determines the width of histogram bars. See \code{\link[graphics]{hist}}.
#' @param density.fill logical; \code{FALSE} will turn off polygon fills when they are displayed, \code{TRUE} will replace
#' histograms with polygons.
#' @param density.opacity opacity of the density polygons, between 0 and 1.
#' @param density.args list of arguments to be passed to \code{\link[stats]{density}}.
#' @param leg sets the legend inside or outside the plot frames (when a character matching \code{'^i'}, or a character
#' matching \code{'^o'} or a number respectively), or turns it off (when \code{FALSE}). When inside, a legend is drawn in
#' each plot frame. When outside, a single legend is drawn either to the right of all plot frames, or within an empty
#' plot frame. By default, this will be determined automatically, tending to set legends outside when there are multiple
#' levels of \code{between}. A number will try and set the legend in an empty frame within the grid of plot frames. If
#' there are no empty frames, the legend will just go to the side as if \code{leg='outside'}.
#' @param lpos sets the position of the legend within its frame (whether inside or outside of the plot frames) based on
#' keywords (see \code{\link[graphics]{legend}}. By default, when the legend is outside, \code{lpos} is either
#' \code{'right'} when the legend is in a right-hand column, or \code{'center'} when in an empty plot frame. When the
#' legend is inside and \code{lpos} is not specified, the legend will be placed automatically based on the data. Set to
#' \code{'place'} to manually place the legend; clicking the plot frame will set the top left corner of the legend.
#' @param lvn level variable name. Logical: if \code{FALSE}, the names of by and between variables will not be shown
#' before their level (e.g., for a sex variable with a "female" level, "sex: female" would become "female" above each
#' plot window).
#' @param leg.title sets the title of the legend (which is the by variable name by default), or turns it off with
#' \code{FALSE}.
#' @param leg.args a list passing arguments to the \code{\link[graphics]{legend}} call.
#' @param title logical or a character: if \code{FALSE}, the main title is turned off. If a character, this will be shown
#' as the main title.
#' @param labx,laby logical or a character: if \code{FALSE}, the label on the x axis is turned off. If a character, this
#' will be shown as the axis label.
#' @param lty logical or a vector: if \code{FALSE}, lines are always solid. If a vector, changes line type based on each
#' value. Otherwise loops through available line types, see \code{\link[graphics]{par}}.
#' @param lwd numeric; sets the weight of lines in line, density, and scatter plots. Default is 2. See
#' \code{\link[graphics]{par}}.
#' @param sub affects the small title above each plot showing \code{between} levels; text replaces it, and \code{FALSE}
#' turns it off.
#' @param note logical; if \code{FALSE}, the note at the bottom about splits and/or lines or error bars is turned off.
#' @param font named numeric vector: \code{c(title,sud,leg,leg.title,note)}. Sets the font of the title, su display, legend
#' levels and title, and note. In addition, \code{font.lab} sets the x and y label font, \code{font.sub} sets the font of
#' the little title in each panel, \code{font.axis} sets the axis label font, and \code{font.main} sets the between level/n
#' heading font; these are passed to \code{\link[graphics]{par}}. See the input section.
#' @param cex named numeric vector: \code{c(title,sud,leg,note,points)}. Sets the font size of the title, su display, legend,
#' note, and points. In addition, \code{cex.lab} sets the x and y label size, \code{cex.sub} sets the size of the little
#' title in each panel, \code{cex.axis} sets the axis label size, and \code{cex.main} sets the between level/n heading size;
#' these are passed to \code{\link[graphics]{par}}. See the input section.
#' @param sud affects the heading for subset and covariates/line adjustments (su display); text replaces it, and
#' \code{FALSE} turns it off.
#' @param ndisp logical; if \code{FALSE}, n per level is no longer displayed in the subheadings.
#' @param labels logical; if \code{FALSE}, sets all settable text surrounding the plot to \code{FALSE} (just so you don't
#' have to set all of them if you want a clean frame).
#' @param labels.filter a regular expression string to be replaced in label texts with a blank space. Default is
#' \code{'_'}, so underscores appearing in the text of labels are replace with blank spaces. Set to
#' \code{FALSE} to prevent all filtering.
#' @param labels.trim numeric or logical; the maximum length of label texts (in number of characters). Default is 20, with
#' any longer labels being trimmed. Set to \code{FALSE} to prevent any trimming.
#' @param points logical; if \code{FALSE}, the points in a scatter plot are no longer drawn.
#' @param points.first logical; if \code{FALSE}, points are plotted after lines are drawn in a scatter plot, placing lines
#' behind points. This does not apply to points or lines added in \code{add}, as that is always evaluated after the main
#' points and lines are drawn.
#' @param byx logical; if \code{TRUE} (default) and \code{by} is specified, regressions for bar or line plots compare
#' levels of \code{by} for each level of \code{x}. This makes for more intuitive error bars when comparing levels of
#' \code{by} within a level of \code{x}; otherwise, the model is comparing the difference between the first level of
#' \code{x} and each of its other levels.
#' @param drop named logical vector: \code{c(x,by,bet)}. Specifies how levels with no data should be treated. All are
#' \code{TRUE} by default, meaning only levels with data will be presented, and the layout of \code{between} levels
#' will be minimized. \code{x} only applies to bar or line plots. \code{by} relates to levels presented in the legend.
#' If \code{bet} is \code{FALSE}, the layout of \code{between} variables will be strict, with levels of \code{between[1]}
#' as rows, and levels of \code{between[2]} as columns -- if there are no data at an intersection of levels, the
#' corresponding panel will be blank. See the input section.
#' @param prat panel ratio, referring to the ratio between plot frames and the legend frame when the legend is out. A
#' single number will make all panels of equal width. A vector of two numbers will adjust the ratio between plot panels
#' and the legend panel. For example, \code{prat=c(3,1)} makes all plot panels a relative width of 3, and the legend frame
#' a relative width of 1.
#' @param check.height logical; if \code{FALSE}, the height of the plot frame will not be checked before plotting is
#' attempted. The check tries to avoid later errors, but may prevent plotting when a plot is possible.
#' @param model logical; if \code{TRUE}, the summary of an interaction model will be printed. This model won't always align
#' with what is plotted since variables may be treated differently, particularly in the case of interactions.
#' @param options a list with named arguments, useful for setting temporary defaults if you plan on using some of the same
#' options for multiple plots (e.g., \code{opt = list(}\code{type = 'bar',} \code{colors = 'grey',}
#' \code{bg = '#999999');} \code{splot(x ~ y,} \code{options = opt)}).
#' use \code{\link{quote}} to include options that are to be evaluated within the function (e.g.,
#' \code{opt =} \code{list(su =} \code{quote(y > 0))}).
#' @param add evaluated within the function, so you can refer to the objects that are returned, to variable names (those
#' from an entered data frame or entered as arguments), or entered data by their position, preceded by '.' (e.g.,
#' \code{mod =} \code{lm(.y~.x)}). Useful for adding things like lines to a plot while the parameters are still
#' those set by the function (e.g., \code{add =} \code{abline(v =} \code{mean(x),} \code{xpd = FALSE)} for a vertical
#' line at the mean of x).
#'
#' @return A list containing data and settings is invisibly returned, which might be useful to check for errors.
#' Each of these objects can also be pulled from within \code{add}:
#' \tabular{ll}{
#' \code{dat} \tab a \code{data.frame} of processed, unsegmented data.\cr
#' \code{cdat} \tab a \code{list} of \code{list}s of \code{data.frame}s of processed, segmented data.\cr
#' \code{txt} \tab a \code{list} of variable names. used mostly to pull variables from \code{data} or the environment.\cr
#' \code{ptxt} \tab a \code{list} of processed variable and level names. Used mostly for labeling.\cr
#' \code{seg} \tab a \code{list} containing segmentation information (such as levels) for each variable.\cr
#' \code{ck} \tab a \code{list} of settings.\cr
#' \code{lega} \tab a \code{list} of arguments that were or would have been passed to \code{\link[graphics]{legend}}.\cr
#' \code{fmod} \tab an \code{lm} object if \code{model} is \code{TRUE}, and the model succeeded.
#' }
#'
#' @section Input:
#' \strong{formulas}
#'
#' When \code{y} is a formula (has a \code{~}), other variables will be pulled from it:
#'
#' \code{y ~ x * by * between[1] * between[2] + cov[1] + cov[2] + cov[n]}
#'
#' If \code{y} has multiple variables, \code{by} is used to identify the variable (it becomes a factor with variable names
#' as levels), so anything entered as \code{by} is treated as \code{between[1]}, \code{between[1]} is moved to
#' \code{between[2]}, and \code{between[2]} is discarded with a message.
#'
#' \strong{named vectors}
#'
#' Named vector arguments like \code{font}, \code{cex}, and \code{drop} can be set with a single value, positionally, or
#' with names. If a single value is entered (e.g., \code{drop = FALSE}), this will be applied to each level (i.e.,
#' \code{c(x = FALSE, by = FALSE, bet = FALSE)}). If more than one value is entered, these will be treated positionally
#' (e.g., \code{cex =} \code{c(2, 1.2)} would be read as \code{c(title = 2, sud = 1.2, leg = .9, note = .7, points = 1)}).
#' If values are named, only named values will be set, with other defaults retained (e.g., \code{cex =} \code{c(note = 1.2)}
#' would be read as \code{c(title = 1.5, sud = .9, leg = .9, note = 1.2, points = 1)}).
#'
#' @note
#' \strong{x-axis levels text}
#'
#' If the text of x-axis levels (those corresponding to the levels of \code{x}) are too long, they are hidden before
#' overlapping. To try and avoid this, by default longer texts are trimmed (dictated by \code{labels.trim}), and at some
#' point the orientation of level text is changed (settable with \code{xlas}), but you may still see level text missing.
#' To make these visible, you can reduce \code{labels.trim} from the default of 20 (or rename the levels of that variable),
#' make the level text vertical (\code{xlas = 3}), or expand your plot window if possible.
#'
#' \strong{missing levels, lines, and/or error bars}
#'
#' By default (if \code{drop = TRUE}), levels of \code{x} with no data are dropped, so you may not see every level of your
#' variable, at all or at a level of \code{by} or \code{between}. Sometimes error bars cannot be estimated (if, say, there
#' is only one observation at the given level), but lines are still drawn in these cases, so you may sometimes see levels
#' without error bars even when error bars are turned on. Sometimes (particularly when \code{drop['x']} is \code{FALSE}),
#' you might see floating error bars with no lines drawn to them, or what appear to be completely empty levels. This
#' happens when there is a missing level of \code{x} between two non-missing levels, potentially making an orphaned level
#' (if a non-missing level is surrounded by missing levels). If there are no error bars for this orphaned level, by default
#' nothing will be drawn to indicate it. If you set \code{line.type} to \code{'b'} (or any other type with points), a point
#' will be drawn at such error-bar-less, orphaned levels.
#'
#' \strong{unexpected failures}
#'
#' splot tries to clean up after itself in the case of an error, but you may still run into errors that break things before
#' this can happen. If after a failed plot you find that you're unable to make any new plots, or new plots are drawn over
#' old ones, you might try entering \code{dev.off()} into the console. If new plots look off (splot's
#' \code{\link[graphics]{par}} settings didn't get reset), you may have to close the plot window to reset
#' \code{\link[graphics]{par}} (if you're using RStudio, Plots > "Remove Plot..." or "Clear All..."), or restart R.
#'
#' @examples
#' # simulating data
#' n <- 2000
#' dat <- data.frame(sapply(c("by", "bet1", "bet2"), function(c) sample(0:1, n, TRUE)))
#' dat$x <- with(
#' dat,
#' rnorm(n) + by * -.4 + by * bet1 * -.3 + by * bet2 *
#' .3 + bet1 * bet2 * .9 - .8 + rnorm(n, 0, by)
#' )
#' dat$y <- with(
#' dat,
#' x * .2 + by * .3 + bet2 * -.6 + bet1 * bet2 * .8 + x *
#' by * bet1 * -.5 + x * by * bet1 * bet2 * -.5
#' + rnorm(n, 5) + rnorm(n, -1, .1 * x^2)
#' )
#'
#' # looking at the distribution of y between bets split by by
#' splot(y, by = by, between = c(bet1, bet2), data = dat)
#'
#' # looking at quantile splits of y in y by x
#' splot(y ~ x * y, dat, split = "quantile")
#'
#' # looking at y by x between bets
#' splot(y ~ x, dat, between = c(bet1, bet2))
#'
#' # sequentially adding levels of split
#' splot(y ~ x * by, dat)
#' splot(y ~ x * by * bet1, dat)
#' splot(y ~ x * by * bet1 * bet2, dat)
#'
#' # same as the last but entered by name
#' splot(y, x = x, by = by, between = c(bet1, bet2), data = dat)
#'
#' # zooming in on one of the windows
#' splot(y ~ x * by, dat, bet1 == 1 & bet2 == 0)
#'
#' # comparing an adjusted lm prediction line with a loess line
#' # this could also be entered as y ~ poly(x,3)
#' splot(y ~ x + x^2 + x^3, dat, bet1 == 1 & bet2 == 0 & by == 1, add = {
#' lines(x[order(x)], loess(y ~ x)$fitted[order(x)], lty = 2)
#' legend("topright", c("lm", "loess"), lty = c(1, 2), lwd = c(2, 1), bty = "n")
#' })
#'
#' # looking at different versions of x added to y
#' splot(cbind(
#' Raw = y + x,
#' Sine = y + sin(x),
#' Cosine = y + cos(x),
#' Tangent = y + tan(x)
#' ) ~ x, dat, myl = c(-10, 15), lines = "loess", laby = "y + versions of x")
#'
#' @export
#' @importFrom grDevices grey dev.copy dev.size dev.off cairo_pdf adjustcolor colors col2rgb
#' @importFrom graphics axis axTicks hist legend lines text mtext plot barplot par points arrows strwidth layout plot.new
#' locator strheight polygon abline
#' @importFrom stats density median quantile sd lm glm confint update loess smooth.spline formula as.formula predict
#' var binomial
splot <- function(
y, data = NULL, su = NULL, type = "", split = "median", levels = list(), sort = NULL,
error = "standard", error.color = "#585858", error.lwd = 2, lim = 9, lines = TRUE, ...,
colors = "pastel", colorby = NULL, colorby.leg = TRUE, color.lock = FALSE, color.offset = 1.1,
color.summary = "mean", opacity = 1, dark = getOption("splot.dark", FALSE), x = NULL,
by = NULL, between = NULL, cov = NULL, line.type = "l", mv.scale = "none", mv.as.x = FALSE,
save = FALSE, format = cairo_pdf, dims = dev.size(), file.name = "splot", myl = NULL,
mxl = NULL, autori = TRUE, xlas = 0, ylas = 1, xaxis = TRUE, yaxis = TRUE, breaks = "sturges",
density.fill = TRUE, density.opacity = .4, density.args = list(), leg = "outside",
lpos = "auto", lvn = TRUE, leg.title = TRUE, leg.args = list(), title = TRUE, labx = TRUE,
laby = TRUE, lty = TRUE, lwd = 2, sub = TRUE, ndisp = TRUE, note = TRUE,
font = c(title = 2, sud = 1, leg = 1, leg.title = 2, note = 3),
cex = c(title = 1.5, sud = .9, leg = .9, note = .7, points = 1), sud = TRUE, labels = TRUE,
labels.filter = "_", labels.trim = 20, points = TRUE, points.first = TRUE, byx = TRUE,
drop = c(x = TRUE, by = TRUE, bet = TRUE), prat = c(1, 1), check.height = TRUE, model = FALSE,
options = NULL, add = NULL) {
# parsing input and preparing data
if (check.height && dev.size()[2] < 1.7) {
stop("the plot window seems too short; increase the height of the plot window, or set check.height to FALSE",
call. = FALSE
)
}
if (!missing(options) && is.list(options) && length(options) != 0) {
a <- as.list(match.call())[-1]
options <- tryCatch(options, error = function(e) NULL)
if (is.null(options)) stop("could not find options")
return(do.call(splot, c(a[names(a) != "options"], options[!names(options) %in% names(a)]), envir = parent.frame()))
}
if (!labels) title <- sud <- sub <- labx <- laby <- note <- FALSE
opt_saf <- getOption("stringsAsFactors")
on.exit(options(stringsAsFactors = opt_saf))
options(stringsAsFactors = FALSE)
ck <- list(
ff = list(bet = FALSE, cov = FALSE),
t = if (grepl("^b|^l", type, TRUE)) 1 else if (grepl("^d", type, TRUE)) 2 else 3,
b = grepl("^b", type, TRUE),
tt = !missing(type) && !grepl("^b|^l", type, TRUE),
d = !missing(data) && !is.null(data),
su = !missing(su),
c = !missing(cov),
co = missing(colors),
cb = !missing(colorby),
cblegm = missing(colorby.leg),
cbleg = is.logical(colorby.leg) && colorby.leg,
poly = missing(density.fill) || (!is.logical(density.fill) || density.fill),
polyo = !missing(density.fill) || !missing(density.opacity),
e = grepl("^s", error, TRUE),
el = !(is.logical(error) && !error),
sp = if (!is.character(split)) {
4
} else if (grepl("^mea|^av", split, TRUE)) {
1
} else if (grepl("^q", split, TRUE)) {
2
} else {
ifelse(grepl("^s", split, TRUE), 3, 4)
},
ly = !(is.logical(laby) && !laby) || is.character(laby),
lys = is.character(laby),
lx = !(is.logical(labx) && !labx) || is.character(labx),
line = substitute(lines),
lty = is.logical(lty),
ltym = missing(lty),
ltm = missing(line.type),
leg = if (is.logical(leg) && !leg) 0 else if (!is.character(leg) || grepl("^o", leg, TRUE)) 1 else 2,
legm = missing(leg),
legt = !(is.logical(leg.title) && !leg.title),
lp = is.character(lpos) && grepl("^a", lpos, TRUE),
lpm = is.character(lpos) && grepl("^p|^m", lpos, TRUE),
mod = !missing(x) && model,
note = !is.character(note),
mv = FALSE,
mlvn = missing(lvn),
opacity = !missing(opacity) && opacity <= 1 && opacity > 0,
mai = FALSE
)
if (ck$lpm) lpos <- "center"
if (ck$d && !is.data.frame(data)) {
data <- if (!is.matrix(data) && !is.list(data)) {
as.data.frame(as.matrix(data))
} else {
as.data.frame(data)
}
}
ck$ltck <- (is.logical(ck$line) && ck$line) || !grepl("^F", ck$line)
if (!ck$ltck && ck$note) note <- FALSE
ck$ltco <- if (ck$ltck) if (is.logical(ck$line) || ck$c || grepl("^li|^lm|^st", ck$line, TRUE)) "li" else if (grepl("^loe|^po|^cu", ck$line, TRUE)) "lo" else if (grepl("^sm|^sp|^in", ck$line, TRUE)) "sm" else if (grepl("^e|^co|^d", ck$line, TRUE)) "e" else if (grepl("^pr|^log", ck$line, TRUE)) "pr" else "li" else "li"
if (any(!missing(font), !missing(cex), !missing(drop))) {
dop <- formals(splot)[c("font", "cex", "drop")]
oco <- function(s, d) {
od <- d <- eval(d)
if (length(s) != length(d)) {
n <- NULL
if (!is.null(n <- names(s)) || length(s) != 1) if (!is.null(n)) d[n] <- s[n] else d[seq_along(s)] <- s else d[] <- s
s <- d
}
s <- s[names(od)]
names(s) <- names(od)
if (any(n <- is.na(s))) s[n] <- od[n]
s
}
if (!missing(font)) font <- oco(font, dop$font)
if (!missing(cex)) cex <- oco(cex, dop$cex)
if (!missing(drop)) drop <- oco(drop, dop$drop)
}
dn <- if (ck$d) names(data) else ""
if (any(grepl("~", c(substitute(y), if (paste(deparse(substitute(y)), collapse = "") %in% ls(envir = globalenv())) y), fixed = TRUE))) {
f <- as.character(as.formula(y))[-1]
y <- as.formula(y)[[2]]
bl <- function(x) {
cs <- strsplit(x, "")[[1]]
rs <- lapply(c("(", ")", "[", "]"), grep, cs, fixed = TRUE)
l <- vapply(rs, length, 0)
cr <- TRUE
if (any(l != 0)) {
if (l[1] != l[2] || l[3] != l[4]) stop("invalid parentheses or brackets in ", x)
cr <- !seq_along(cs) %in% c(
unlist(lapply(seq_len(l[1]), function(r) do.call(seq, lapply(rs[1:2], "[[", r)))),
unlist(lapply(seq_len(l[3]), function(r) do.call(seq, lapply(rs[3:4], "[[", r))))
)
}
cs[cr] <- sub("*", "_VAR_", sub("+", "_COV_", cs[cr], fixed = TRUE), fixed = TRUE)
paste(cs, collapse = "")
}
f <- strsplit(bl(f[-1]), " _COV_ ", fixed = TRUE)[[1]]
if (any(grepl(" _VAR_ ", f, fixed = TRUE))) {
r <- strsplit(f[1], " _VAR_ ", fixed = TRUE)[[1]]
if (length(r)) x <- r[1]
if (length(r) > 1) by <- r[2]
if (length(r) > 2) {
ck$ff$bet <- TRUE
between <- r[3]
}
if (length(r) > 3) between <- c(r[3], r[4])
f <- f[!grepl(" _VAR_ ", f, fixed = TRUE)]
} else {
x <- f[1]
f <- f[-1]
}
if (length(f)) {
cov <- f
ck$c <- ck$ff$cov <- TRUE
}
}
txt <- list(
split = "none",
y = substitute(y),
x = substitute(x),
by = substitute(by),
bet = as.list(substitute(between)),
cov = as.list(substitute(cov)),
su = deparse(substitute(su))
)
txt[c("bet", "cov")] <- lapply(c("bet", "cov"), function(l) {
paste(if (!ck$ff[[l]] && length(txt[[l]]) > 1) txt[[l]][-1] else txt[[l]])
})
txt <- lapply(txt, function(e) if (is.call(e)) paste(deparse(e), collapse = "\n") else e)
if (length(txt$bet) > 2) txt$bet <- txt$bet[1:2]
tdc <- function(x, l = NULL) {
if (!is.call(x)) {
if ((is.null(l) && length(x) != 1) || (!is.null(l) && length(x) == l)) {
return(x)
}
}
if (is.character(x)) x <- parse(text = x)
tx <- tryCatch(eval(x, data, parent.frame(2)), error = function(e) NULL)
if (is.character(tx) && length(tx) < 2) {
x <- parse(text = tx)
tx <- tryCatch(eval(x, data, parent.frame(2)), error = function(e) NULL)
} else if (is.null(tx)) tx <- tryCatch(eval(x, data, parent.frame(3)), error = function(e) NULL)
if (is.null(tx) || any(class(tx) %in% c("name", "call", "expression", "function"))) stop("could not find ", x, call. = FALSE)
if (!is.null(l) && is.null(ncol(tx))) {
if (length(tx) != l) {
tx <- rep_len(tx, l)
if (is.call(x)) x <- deparse(x)
warning(x, " is not the same length as y", call. = FALSE)
}
}
if (!is.null(dim(tx)) && !is.matrix(tx) && !is.data.frame(tx)) tx <- as.matrix(tx)
tx
}
if (!missing(data) && !any(class(data) %in% c("matrix", "data.frame"))) {
data <- if (is.character(data)) eval(parse(text = data)) else eval(data, globalenv())
}
dat <- data.frame(y = tdc(txt$y), check.names = FALSE)
if (ncol(dat) == 1) names(dat) <- "y"
nr <- nrow(dat)
lvs <- function(x, s = FALSE) if (is.factor(x)) base::levels(x) else if (s) sort(unique(x[!is.na(x)])) else unique(x[!is.na(x)])
for (n in names(txt)[-c(1, 2, 7)]) {
l <- length(txt[[n]])
if (l == 0) next
if (l == nr) {
dat[, n] <- txt[[n]]
txt[[n]] <- n
} else if (l == 1) dat[, n] <- tdc(txt[[n]], nr) else for (i in seq_along(txt[[n]])) dat[, paste0(n, ".", i)] <- tdc(txt[[n]][[i]], nr)
}
if (length(txt$y) == nr) txt$y <- "y"
if (missing(x) && !is.null(dat$y) && !is.numeric(dat$y)) {
dat$x <- dat$y
sl <- grepl("^(y|by|bet[.12]{,2})$", colnames(dat))
dat$y <- if (sum(sl) == 1) dat[, sl] else do.call(paste, dat[, sl])
dat$y <- table(dat$y)[dat$y]
if (sum(sl) != 1) dat <- dat[, c("y", "x", colnames(dat)[!colnames(dat) %in% c("y", "x")])]
if (ck$t != 2) txt[c("y", "x")] <- c("count", txt$y)
ck$el <- FALSE
if (missing(type)) {
ck$b <- TRUE
ck$t <- 1
ck[c("b", "t", "tt")] <- list(TRUE, 1, FALSE)
}
if (missing(autori)) autori <- FALSE
}
if (NCOL(dat$x) > 1) {
ck$c <- TRUE
txt$cov <- c(txt$x, txt$cov)
dat$cov <- cbind(dat$cov, dat$x[, -1])
dat$x <- dat$x[, 1]
}
ck$orn <- nr
su <- substitute(su)
if (ck$su && length(su) != nr) {
tsu <- tryCatch(eval(su, if (ck$d) data), error = function(e) NULL)
if (is.null(tsu) || length(tsu) != nr) {
odat <- dat
colnames(odat) <- sub("^y\\.", "", colnames(dat))
tsu <- tryCatch(eval(su, odat), error = function(e) NULL)
}
if (!is.null(tsu)) {
tsu[is.na(tsu)] <- FALSE
su <- tsu
}
if (is.logical(tsu) && sum(tsu) == 0 || length(tsu) == 0) {
ck$su <- FALSE
warning("su excludes all rows, so it was ignored.", .call = FALSE)
}
}
tsu <- vapply(dat, is.numeric, TRUE)
ck$omitted <- list(
na = apply(dat, 1, function(r) any(is.na(r))),
inf = apply(dat[, tsu, drop = FALSE], 1, function(r) any(is.infinite(r)))
)
if (ck$su) ck$omitted$su <- !su
ck$omitted$all <- !Reduce("|", ck$omitted)
if (any(!ck$omitted$all)) {
if (any(ck$omitted$all)) {
odat <- dat[ck$omitted$all, , drop = FALSE]
dat <- odat
dn <- colnames(dat)
if ("x" %in% dn && length(unique(dat$x)) == 1) {
ck$t <- 2
dat$x <- NULL
warning("after omitting, x only had 1 level, so it was dropped")
}
if ("by" %in% dn && length(unique(dat$by)) == 1) {
txt$by <- dat$by <- NULL
warning("after omitting, by only had 1 level, so it was dropped")
}
if (ck$d) data <- data[ck$omitted$all, , drop = FALSE]
} else {
stop("this combination of variables/splits has no complete cases")
}
}
dn <- colnames(dat)
nr <- nrow(dat)
if (sum(grepl("^y", dn)) > 1) {
# setting up multiple y variables
dn <- grep("^y\\.", dn)
ck$mvn <- colnames(dat)[dn]
ck$mvnl <- length(ck$mvn)
if (any(tcn <- grepl("(V\\d+$|c\\(|y\\.(\\d+$|.*\\.))", ck$mvn))) {
ncn <- substitute(y)
if (length(ncn) > 1 && length(ncn <- as.character(ncn[-1])) == length(dn)) {
ck$mvn[tcn] <- paste0("y.", ncn[tcn])
}
}
ck$mv <- TRUE
if (ck$mlvn) lvn <- FALSE
if (!missing(by)) {
txt$bet <- c(txt$by, txt$bet)
if (length(txt$bet) > 2) {
warning("multiple y variables moves by to between, so the second level of between was dropped")
txt$bet <- txt$bet[1:2]
dat <- dat[-grep("bet", colnames(dat))[2]]
}
if (length(txt$bet) > 1) {
dat$bet.1 <- if (is.factor(dat$by)) dat$by else as.character(dat$by)
dat$bet.2 <- if (is.factor(dat$bet)) dat$bet else as.character(dat$bet)
dat$bet <- NULL
} else {
dat$bet <- if (is.factor(dat$by)) dat$by else as.character(dat$by)
}
}
td <- dat
if (any(ckn <- duplicated(ck$mvn))) ck$mvn[ckn] <- paste0(ck$mvn[ckn], "_", seq_len(sum(ckn)))
by <- sub("^y\\.", "", ck$mvn)
if (any(by == "")) by[by == ""] <- seq_len(sum(by == ""))
by <- factor(rep(by, each = nr), levels = by)
cncls <- vapply(dat[, dn], function(v) is.numeric(v) || is.integer(v) || is.factor(v), TRUE)
if (any(cncls) && any(!cncls)) {
for (cnc in which(!cncls)) {
dat[, cnc] <- as.numeric(factor(dat[, cnc], lvs(dat[, cnc])))
}
}
dat <- data.frame(y = unlist(dat[, dn], use.names = FALSE))
if (ncol(td) > length(dn)) dat <- cbind(dat, do.call(rbind, lapply(seq_along(dn), function(i) td[, -dn, drop = FALSE])))
if (mv.as.x) {
txt$by <- txt$x
txt$x <- if (missing(labx)) "variable" else if (labx == txt$by) paste0(labx, ".1") else labx
dat$by <- dat$x
dat$x <- by
} else {
txt$by <- "variable"
dat$by <- by
}
if (missing(leg.title) && !mv.as.x) ck$legt <- FALSE
if (!missing(levels) && "mv" %in% names(levels)) names(levels)[names(levels) == "mv"] <- txt[[if (mv.as.x) "x" else "by"]]
dn <- colnames(dat)
if (!missing(mv.scale) && mv.scale != "none") {
tv <- if (mv.as.x) dat$x else dat$by
for (g in levels(as.factor(tv))) {
svar <- tv == g
cvar <- scale(dat[svar, 1], scale = grepl("^t|z|sc", mv.scale, TRUE))
if (any(is.na(cvar))) cvar <- dat[svar, 1] - mean(dat[svar, 1], na.rm = TRUE)
dat[svar, 1] <- cvar
}
}
nr <- nrow(dat)
} else {
ck$mv <- FALSE
}
if (!"x" %in% dn) {
ck$t <- 2
if (!missing(type) && !grepl("^d", type, TRUE)) warning("x must be included to show other types of splots")
}
if (!ck$cb && !"by" %in% dn) ck$leg <- 0
if (lim > 20 || (is.logical(lim) && !lim)) {
lim <- Inf
if (ck$legm && !ck$cb) ck$leg <- 0
if (missing(error)) ck$el <- FALSE
}
if (ck$ltm && !ck$el) line.type <- "b"
if (ck$ltym && is.logical(lines) && !lines) {
ck$lty <- FALSE
lty <- 1
}
if (!is.numeric(dat$y)) {
txt$yax <- lvs(dat$y)
if (!is.logical(dat$y) && !is.factor(dat$y)) dat$y <- factor(dat$y, lvs(dat$y))
dat$y <- as.numeric(dat$y)
}
if ("by" %in% dn && is.character(dat$by) && all(!grepl("[^0-9]", dat$by))) {
dat$by <- gsub(" ", "0", base::format(dat$by, justify = "right"), fixed = TRUE)
}
odat <- dat
# splitting and parsing variables
splt_type <- function(x, s) {
if (s == 1) {
"mean"
} else if (s == 3) {
"standard deviation"
} else if (s == 2) {
"quantile"
} else if (s == 4 && is.double(split) && (length(split) != 1 || all(c(
sum(split >= x, na.rm = TRUE),
sum(split <= x, na.rm = TRUE)
) > 1))) {
paste(split, collapse = ", ")
} else if (s == 4 && is.numeric(split) && split > 1) {
split <- min(length(x), round(split), na.rm = TRUE)
paste0("segments (", split, ")")
} else {
"median"
}
}
splt <- function(x, s) {
if (s == 1) {
factor(x >= mean(x, na.rm = TRUE) * 1, labels = c("Below Average", "Above Average"))
} else if (s == 3) {
m <- mean(x, na.rm = TRUE)
s <- sd(x, TRUE)
cut(x, c(-Inf, m - s, m + s, Inf), labels = c("-1 SD", "Mean", "+1 SD"))
} else if (s == 2) {
cut(x, c(-Inf, quantile(x, na.rm = TRUE)[c(2, 4)], Inf),
labels = c("2nd Quantile", "Median", "4th Quantile")
)
} else if (s == 4 && is.double(split) && (length(split) != 1 || all(c(
sum(split >= x, na.rm = TRUE),
sum(split <= x, na.rm = TRUE)
) > 1))) {
cut(x, c(-Inf, split, Inf), paste0("<=", c(split, "Inf")), ordered_result = TRUE)
} else if (s == 4 && is.numeric(split) && split > 1) {
n <- length(x)
split <- min(n, round(split), na.rm = TRUE)
factor(paste("seg", rep(seq_len(split), each = round(n / split + .49))[order(order(x))]))
} else {
factor(x >= median(x, TRUE) * 1, labels = c("Under Median", "Over Median"))
}
}
seg <- list(
x = list(e = !missing(x), s = FALSE, i = 2),
f1 = list(e = FALSE, s = FALSE, l = "", ll = 1),
f2 = list(e = FALSE, s = FALSE, l = "", ll = 1),
by = list(e = FALSE, s = FALSE, l = "", ll = 1)
)
if (seg$x$e && ck$t != 2) {
if ((ck$t == 1 || is.character(dat$x) || is.factor(dat$x) ||
(missing(type) && length(unique(dat$x)) < lim))) {
dat$x <- if (!is.character(dat$x) && !is.factor(dat$x) && length(unique(dat$x)) > lim) {
seg$x$s <- TRUE
if (missing(type)) ck$t <- 1
txt$split <- splt_type(dat$x, ck$sp)
splt(dat$x, ck$sp)
} else {
if (missing(type)) ck$t <- 1
as.factor(dat$x)
}
}
}
if (ck$t == 1 || (is.character(dat$x) || is.factor(dat$x))) {
seg$x$l <- lvs(dat$x)
if (length(seg$x$l) == 1) ck$t <- 3
}
svar <- NULL
cvar <- if (any(grepl("^c", dn))) which(grepl("^c", dn)) else NULL
if (any(grepl("^b", dn))) {
svar <- which(grepl("^b", dn))
for (i in svar) {
e <- if (grepl("bet", dn[i])) if (!seg$f1$e) "f1" else "f2" else "by"
seg[[e]]$e <- TRUE
seg[[e]]$i <- i
seg[[e]]$l <- lvs(dat[, i])
if (is.factor(dat[, i]) && drop[[dn[i]]]) {
seg[[e]]$l <- seg[[e]]$l[seg[[e]]$l %in% dat[, i]]
}
seg[[e]]$ll <- length(seg[[e]]$l)
if (seg[[e]]$ll > lim && !(is.character(dat[, i]) || is.factor(dat[, i]))) {
txt$split <- splt_type(dat[, i], ck$sp)
dat[, i] <- splt(dat[, i], ck$sp)
seg[[e]]$s <- TRUE
seg[[e]]$l <- lvs(dat[, i])
seg[[e]]$ll <- length(seg[[e]]$l)
}
if (!is.factor(dat[, i])) {
dat[, i] <- if (is.character(dat[, i])) {
factor(dat[, i], lvs(dat[, i]))
} else {
as.factor(dat[, i])
}
}
}
}
if (seg$by$l[1] == "") seg$by$l <- "NA"
fmod <- NULL
vs <- c(y = txt$y, x = txt$x, by = txt$by, bet = txt$bet, cov = txt$cov)
colnames(odat) <- vs
if (ck$t != 2 && model) {
tryCatch(
{
mod <- formula(paste(
vs["y"], "~", vs["x"],
if (seg$by$e) paste0("*", vs["by"]),
if (seg$f1$e) paste0("*", vs[grep("^bet", names(vs))[1]]),
if (seg$f2$e) paste0("*", vs["bet2"]),
if (length(cvar)) paste0("+", paste0(vs["cov"], collapse = "+"))
))
fmod <- lm(mod, odat)
if (model) {
s <- summary(fmod)
s$call <- mod
print(s)
}
},
error = function(e) warning(paste("summary model failed:", e$message), call. = FALSE)
)
}
if (!missing(levels)) {
tryCatch(
{
lc <- c("y", "x", "by", "f1", "f2")
ns <- c(txt$y, txt$x, txt$by, txt$bet, lc)
lc <- c(lc[seq_len(length(ns) - length(lc))], lc)
for (n in names(levels)) {
if (any(cns <- ns %in% n)) {
sl <- lc[cns <- which(cns)[1]]
if (sl == "y") {
sl <- list(i = 1)
vfac <- txt$yax
dat$y <- factor(dat$y, labels = vfac)
} else {
sl <- seg[[sl]]
vfac <- lvs(dat[, sl$i])
}
vl <- length(vfac)
ln <- levels[[n]]
lo <- NULL
if (is.list(ln)) {
if (length(ln) > 1) lo <- levels[[n]][[2]]
ln <- ln[[1]]
}
if (is.numeric(ln)) ln <- vfac[ln]
if (vl == length(ln)) {
vl <- list(dat[, sl$i])
if (all(ln %in% vfac)) {
vl$levels <- ln
} else {
if (!is.null(lo)) {
vl$labels <- ln[lo]
vl$levels <- vfac[lo]
} else {
vl$labels <- ln
}
}
dat[, sl$i] <- do.call(factor, vl)
if ("l" %in% names(sl)) seg[[lc[cns]]]$l <- levels(dat[, sl$i])
} else {
warning(n, " has ", vl, " levels but you provided ", length(ln), call. = FALSE)
}
if (sl$i == 1) {
txt$yax <- lvs(dat$y)
dat$y <- as.numeric(dat$y)
}
}
}
},
error = function(e) warning("setting levels failed: ", e$message, call. = FALSE)
)
}
dsf <- list(c1 = "", sep = rep.int("^^", nr), c2 = "")
if (seg$f1$e) dsf$c1 <- dat[, seg$f1$i]
if (seg$f2$e) dsf$c2 <- dat[, seg$f2$i]
cdat <- split(dat, dsf)
if (seg$by$e) {
cdat <- lapply(cdat, function(s) {
if (length(unique(s$by)) > 1) {
split(s, factor(as.character(s$by), lvs(s$by)))
} else {
s <- lapply(seg$by$l, function(l) if (sum(s$by == l)) s else NULL)
names(s) <- seg$by$l
s
}
})
if (all((seg$n <- vapply(cdat, length, 0)) == seg$by$ll)) {
seg$n <- vapply(cdat, function(s) vapply(s, NROW, 0), numeric(seg$by$ll))
} else {
drop["by"] <- FALSE
}
} else {
seg$n <- vapply(cdat, nrow, 0)
}
if (seg$by$e && ck$t != 3 && drop["by"]) {
seg$by$l <- if (is.null(rownames(seg$n))) {
structure(seg$n > 1, names = seg$by$l)
} else {
vapply(rownames(seg$n), function(r) any(seg$n[r, ] > 1), TRUE)
}
if (!any(seg$by$l)) {
if (ck$t == 2) stop("no level of by has more than 1 observation")
warning("no level of by has more than 1 observation so it was treated as colorby", call. = FALSE)
seg$by$e <- FALSE
seg$by$l <- ""
seg$by$ll <- 1
if (ck$cb) {
colorby <- substitute(colorby)
colorby[[2]] <- dat$by
} else {
colorby <- dat$by
}
ck$cb <- TRUE
dat <- dat[, -seg$by$i]
cdat <- split(dat, dsf)
seg$n <- vapply(cdat, nrow, 0)
} else {
seg$by$l <- names(seg$by$l[seg$by$l])
seg$by$ll <- length(seg$by$l)
}
}
if (!is.null(nrow(seg$n))) {
cdat <- cdat[apply(seg$n, 2, function(r) any(r > 1))]
if (nrow(seg$n) > 1) seg$n <- colSums(seg$n[, names(cdat), drop = FALSE])
}
if (ck$mv) seg$n <- seg$n / length(ck$mvn)
seg$ll <- length(seg$n)
if (ck$mlvn && seg$by$e && (seg$by$s || !any(grepl("^[0-9]", seg$by$l)))) lvn <- FALSE
ptxt <- c(txt[-c(1, 7)], l = lapply(seg[1:4], "[[", "l"))
if (missing(labels.trim) && seg$ll == 1 && length(ptxt$l.x) < 2 && (seg$by$ll == 1 || ck$mv)) labels.trim <- 40
if (is.numeric(labels.trim) || is.character(labels.filter)) {
vs <- c("y", "x", "by", "bet", "cov", "l.x", "l.f1", "l.f2", "l.by")
ptxt <- lapply(vs, function(n) {
n <- as.character(ptxt[[n]])
if (length(n) != 0 && all(n != "NULL" & n != "")) {
names(n) <- n
if (is.character(labels.filter)) n <- gsub(labels.filter, " ", n, perl = TRUE)
if (any(is.na(iconv(n)))) stop("labels appear to be misencoded -- check them with the iconv function")
if (is.numeric(labels.trim)) if (any(ln <- nchar(n) > (labels.trim + 3))) n[ln] <- sub("$", "...", strtrim(n[ln], labels.trim))
}
n
})
names(ptxt) <- vs
}
if (is.character(labx)) ptxt$x <- labx else if (ck$t == 2) ptxt$x <- ptxt$y
if (is.character(laby)) ptxt$y <- laby else if (ck$t == 2) ptxt$y <- "Density"
ck$ileg <- seg$by$e && ck$leg > 1
ptxt$leg <- ptxt$l.by
fdat <- dat
names(fdat) <- paste0(".", names(dat))
fdat <- if (!is.null(data)) if (nrow(data) == nr) cbind(data, fdat, odat) else data else cbind(fdat, odat)
# figuring out colors
csf <- if (is.function(color.summary)) {
color.summary
} else if (grepl("^av|mea", color.summary, TRUE)) {
splot.colormean
} else if (grepl("^mode", color.summary, TRUE)) {
function(x) names(which.max(table(x)))
} else {
function(x) lvs(x)[round(median(as.numeric(factor(x, lvs(x)))))]
}
colors <- substitute(colors)
seg$cols <- if (ck$co) colors else if (any(paste(colors) %in% names(fdat))) NULL else tryCatch(tdc(colors), error = function(e) NULL)
if (is.null(seg$cols)) seg$cols <- eval(colors, fdat, parent.frame(1))
ptxt$cbo <- substitute(colorby)
if (length(ptxt$cbo) > 1 && ptxt$cbo[[1]] == "list") ptxt$cbo <- ptxt$cbo[[2]]
if (!is.character(ptxt$cbo)) ptxt$cbo <- deparse(ptxt$cbo)
if (length(seg$cols) == 1) {
if (grepl("^bri|^dar|^pas", seg$cols, TRUE) && (ck$cb || (seg$by$ll > 1 && seg$by$ll < 10))) {
seg$cols <- splot.color(seed = seg$cols)
} else if (ck$co || grepl("^gra|^grey", seg$cols, TRUE)) seg$cols <- splot.color(seg$by$ll, seed = "grey")
}
cl <- length(seg$cols)
seg$lcols <- seg$cols
ck[c("cbn", "cbb")] <- tg <- FALSE
chl <- if (ck$cblegm) FALSE else ck$cbleg
if (ck$cb) {
sca <- names(formals(splot.color))
colorby <- substitute(colorby)
cba <- if (any(paste(colorby) %in% names(fdat))) NULL else tryCatch(tdc(colorby), error = function(e) NULL)
if (is.null(cba)) cba <- eval(substitute(colorby), fdat)
if (is.null(cba) || (is.character(cba) && length(cba) == 1)) cba <- tdc(colorby)
if (!is.list(cba) || is.data.frame(cba)) {
cba <- list(x = cba)
} else if (is.null(names(cba))) {
names(cba) <- names(formals(splot.color))[seq_along(cba)]
} else if (any(names(cba) == "")) {
tn <- names(cba) == ""
names(cba)[tn] <- sca[seq_len(sum(tn))]
}
if (!is.null(ncol(cba$x)) && ncol(cba$x) > 1) {
if (!"by" %in% names(cba)) cba$by <- cba$x[, 2]
cba$x <- cba$x[, 1]
}
cba$flat <- TRUE
cn <- names(cba)
ck$cbb <- "by" %in% cn
if (ck$mv && length(cba$x) * ck$mvnl == nr) {
cba$x <- rep(cba$x, ck$mvnl)
if (ck$cbb) cba$by <- rep(cba$by, ck$mvnl)
}
if (ck$cbb) {
cba$by <- if (is.numeric(cba$by) && length(unique(cba$by)) > lim) {
ptxt$cbos <- if (missing(leg.title)) colorby else leg.title
ptxt$cbos <- if (is.call(ptxt$cbos)) {
deparse(ptxt$cbos[[if (cn[2] == "by" && length(ptxt$cbos) > 2) 3 else 2]])
} else {
deparse(ptxt$cbos)
}
splt(cba$by, ck$sp)
} else {
factor(cba$by, lvs(cba$by))
}
if (seg$by$e && seg$by$ll <= lim && length(cba$by) == nr && !identical(as.character(dat$by), as.character(cba$by))) {
cba$by <- dat$by:cba$by
cbbl <- sub(":.*", "", lvs(cba$by))
colorby[[3]] <- as.name(paste0(ptxt$by, ":", colorby[[3]]))
seg$lcols <- seg$cols <- splot.color(cbbl, seed = seg$cols)
if (!ck$b && ck$line) {
if (length(lty) < seg$by$ll) lty <- seq_len(seg$by$ll)
ck[c("lty", "ltym")] <- FALSE
lty <- rep(lty, table(cbbl))
seg$lty <- unique(lty)
}
} else {
lby <- length(lvs(cba$by))
if (!color.lock && cl < lby) seg$cols <- splot.color(as.list(rep.int(round(lby / cl + .49), cl)), seed = seg$cols)
}
}
if (length(cba$x) == ck$orn) cba$x <- cba$x[ck$omitted$all]
if (ck$cbb && length(cba$by) == ck$orn) cba$by <- cba$by[ck$omitted$all]
if (seg$by$e || !"seed" %in% cn) {
cba$seed <- seg$cols
if ("seed" %in% cn) {
warning("colorby's seed is ignored because by is specified -- use colors to set seeds", call. = FALSE)
}
}
cn <- names(cba)
ckn <- cken <- is.numeric(cba$x)
if ((ck$t == 1 || any(seg$by$e, seg$f1$e)) && length(cba$x) == nr) {
seg$cbxls <- lvs(cba$x)
if (ck$t != 3 && (!seg$by$e || seg$by$ll > lim)) {
cba$x <- vapply(split(cba$x, if (seg$by$e) dat$by else dat$x), function(x) {
if (ckn) {
mean(x, na.rm = TRUE)
} else {
names(which.max(table(x)))
}
}, if (ckn) 0 else "")
if (!ckn || length(seg$cbxls) <= lim) {
cba$x <- if (ckn) {
cba$x <- round(cba$x, 3)
factor(cba$x, sort(unique(cba$x)))
} else {
factor(cba$x, seg$cbxls)
}
ckn <- FALSE
}
if (ck$cbb && length(cba$by) == nr) {
cba$by <- factor(vapply(split(cba$by, if (seg$by$e) dat$by else dat$x), function(x) {
names(which.max(table(x)))
}, ""), lvs(cba$by))
if (length(cba$x) != length(cba$by)) {
cba$by <- NULL
ck$cbb <- FALSE
warning("colorby's by was dropped as it was not the same length as x after being aligned with the formula's x",
call. = FALSE
)
}
}
if (ckn && !ck$b && ck$t == 1 && length(cba$x) == 2) {
cba$x <- c(mean(cba$x), cba$x)
if (ck$cbb) cba$by <- factor(c(lvs(cba$by)[which.max(tabulate(cba$by))], as.character(cba$by)), lvs(cba$by))
}
} else if (!ck$cbb) {
if (ck$t == 3) {
cba$by <- dat$by
} else {
cba$x <- data.frame(cba$x, dat$by)
if (ck$b && seg$ll != 1) cba$x$x <- dat$x
cba$x <- unlist(lapply(split(cba$x, dsf), function(x) {
lapply(
split(x[, 1], x[, -1]), function(x) if (!length(x)) NA else if (ckn) mean(x, na.rm = TRUE) else names(which.max(table(x)))
)
}), TRUE, FALSE)
if (length(cba$x) == seg$by$ll) names(cba$x) <- seg$by$l else seg$ill <- names(cba$x)
if (!ckn) cba$x <- factor(cba$x, seg$cbxls)
cba$by <- factor(rep_len(seg$by$l, length(cba$x)), seg$by$l)
if (ck$cblegm) ck$cbleg <- FALSE
}
}
}
if (ck$cbb) {
if (length(cba$by) == nr && length(cba$x) == seg$by$ll) {
tn <- lapply(split(cba$by, dat$by), unique)
if (all(vapply(tn, length, 0) == 1)) {
cba$by <- unlist(tn, use.names = FALSE)
} else {
cba$by <- NULL
warning("colorby's by was dropped as its levels within levels of by are not unique", call. = FALSE)
}
}
if (ck$cbleg) {
chl <- TRUE
if (missing(leg.title)) {
leg.title <- substitute(colorby)
leg.title <- if (is.call(leg.title) && length(leg.title) > 2) {
deparse(leg.title[[if (cn[2] == "by") 3 else 2]])
} else {
deparse(leg.title)
}
}
ptxt$leg <- lvs(cba$by)
}
} else {
if (ck$cbleg && (ck$t == 1 || !seg$by$e)) {
chl <- TRUE
tg <- ckn
ll <- all(ck$t != 1 || (length(seg$x$l) > 2 || seg$by$ll > 2))
if (ll) {
if (is.call(cba$x)) cba$x <- tdc(cba$x)
ll <- length(unique(cba$x)) > 2
}
if (missing(leg.title) && length(ptxt$cbo) == 1) leg.title <- ptxt$cbo
ptxt$leg <- if (ckn) formatC(c(min(cba$x), if (ll) mean(cba$x), max(cba$x)), 2, format = "f") else lvs(cba$x)
} else if (!seg$by$e) ck$leg <- 0
}
if (!ckn && length(cba$x) > lim && !"shuffle" %in% cn) cba$shuffle <- TRUE
sca <- cn %in% sca
if (any(!sca)) warning(paste0("unused colorby arguments: ", paste(cn[!sca], collapse = ", ")), call. = FALSE)
seg$cols <- do.call(splot.color, cba[sca])
if (!is.null(names(cba$x))) names(seg$cols) <- names(cba$x)
if (!chl || ck$cbb) {
ck$cbn <- TRUE
ptxt$cbn <- paste0("Colored by ", if (ckn || cken) "value of " else "levels of ", ptxt$cbo, ". ")
}
if (seg$by$e && !ck$cbb) {
if (length(seg$cols) == length(ptxt$leg)) {
seg$lcols <- seg$cols
} else if (ckn && ck$cbb) {
seg$lcols <- seg$cols[c(which.min(cba$x), which.max(cba$x))]
}
}
if (chl) {
if (ck$legm && !ck$leg) ck$leg <- 1 + seg$ll > 1
if ((ck$ltym || length(lty) == length(seg$cbxls)) && (!seg$by$e || seg$by$ll > length(ptxt$leg))) {
ck[c("lty", "ltym")] <- FALSE
if (!is.numeric(lty)) lty <- 1
seg$lty <- rep_len(lty, seg$by$ll)
if (!ck$ltym) lty <- seq_along(seg$cbxls)
if (ck$ltym && seg$by$e && !ckn) {
cbl <- cba[[if (ck$cbb) "by" else "x"]]
for (g in seq_along(seg$cbxls)) seg$lty[cbl == seg$cbxls[[g]]] <- lty[[g]]
}
lty <- unique(seg$lty)
}
if (tg) {
l <- length(seg$cols)
seg$lcols <- seg$cols[order(cba$x)[c(1, if (ll) round(mean(seq_len(l))), l)]]
} else if (seg$by$e && length(seg$cols) == seg$by$ll && length(ptxt$leg) == seg$by$ll) seg$lcols <- seg$cols
} else {
ptxt$leg <- if (length(seg$cols) == seg$by$ll && !is.null(names(seg$cols))) names(seg$cols) else seg$by$l
if (length(ptxt$leg) == length(seg$cols)) seg$lcols <- seg$cols else if (all(ptxt$leg %in% names(seg$cols))) seg$lcols <- seg$cols[ptxt$leg] else if (seg$by$e && length(seg$cols) == nr) seg$lcols <- vapply(split(seg$cols, dat$by), csf, "")
}
} else {
if (!color.lock && cl < seg$by$ll) {
seg$cols <-
splot.color(as.list(rep.int(round(seg$by$ll / cl + .49), cl)), seed = seg$cols)
}
if (ck$t != 2 && !any(length(seg$cols) == c(nr, seg$by$ll)) && (!ck$b || seg$by$e)) {
seg$cols <- rep_len(seg$cols, seg$by$ll)
}
}
if (seg$by$e && !all(seg$by$l %in% names(seg$cols))) {
if (length(seg$cols) == seg$by$ll) {
names(seg$cols) <- seg$by$l
if (!ck$cbb && !chl) seg$lcols <- seg$cols
} else if (length(seg$lcols) == seg$by$ll) {
names(seg$lcols) <- seg$by$l
} else if (length(ptxt$leg) == seg$by$ll) {
if (length(seg$lcols) == nr) {
seg$lcols <- split(seg$lcols, dat$by)
} else {
seg$lcols <- rep_len(seg$lcols, seg$by$ll)
if (any(grepl(names(cdat)[1], names(seg$lcols), fixed = TRUE))) {
for (g in names(cdat)) names(seg$lcols) <- sub(paste0(g, "."), "", names(seg$lcols), fixed = TRUE)
if (all(seg$by$l %in% names(seg$lcols))) seg$lcols <- seg$lcols[seg$by$l]
} else {
names(seg$lcols) <- seg$by$l
}
}
}
if (ck$b && length(seg$cols) == nr) {
seg$cols <- unlist(lapply(
split(data.frame(seg$cols, dat$by), dat$x),
function(d) vapply(split(d[, 1], d[, 2], drop = TRUE), csf, "")
), use.names = FALSE)
}
}
if (ck$opacity && (ck$t != 3 || !points)) {
if (is.list(seg$cols)) {
lapply(seg$cols, adjustcolor, opacity)
} else {
seg$cols[] <- adjustcolor(seg$cols, opacity)
}
}
if (lvn && length(ptxt$by)) ptxt$l.by[] <- paste0(paste0(ptxt$by, ": "), ptxt$l.by)
if (length(seg$cols) == nr) {
if (any(seg$by$e && !ck$b, seg$f1$e, seg$f2$e)) {
seg$scols <- split(if (seg$by$e && !ck$b) data.frame(seg$cols, dat$by) else seg$cols, dsf)
if (!ck$b) {
if (seg$by$e) seg$scols <- lapply(seg$scols, function(d) split(d[, 1], d[, 2]))
if (ck$t == 1) {
seg$scols <- lapply(seg$scols, function(bl) {
vapply(bl, function(bll) {
if (length(bll)) csf(bll) else ""
}, "")
})
}
}
}
} else if (seg$ll != 1 && "ill" %in% names(seg)) {
seg$scols <- lapply(names(cdat), function(n) seg$cols[grepl(n, names(seg$cols), fixed = TRUE)])
names(seg$scols) <- names(cdat)
}
if (ck$t == 2 && seg$by$ll > 1 && !all(seg$by$l %in% names(seg$cols))) {
seg$cols <- if (length(seg$lcols) == seg$by$ll) {
seg$lcols
} else if (length(seg$cols) == 1) {
splot.color(seq_len(seg$by$ll), seed = seg$cols)
} else {
rep_len(seg$cols, seg$by$ll)
}
if (is.null(names(seg$cols))) names(seg$cols) <- seg$by$l
}
# figuring out parts of the plot
ylab <- if (ck$ly) ptxt$y else ""
xlab <- if (ck$lx && length(ptxt$x)) ptxt$x else ""
main <- if (is.logical(title) && title) {
paste0(if (ck$t == 2) {
paste("Density of", ptxt$x)
} else {
paste(
ptxt$y,
"by", ptxt$x
)
}, if (seg$by$e && !ck$mv) paste(" at levels of", ptxt$by), if (length(ptxt$bet) != 0) {
paste(
" between",
paste(ptxt$bet, collapse = " & ")
)
})
} else if (is.character(title)) title else ""
if (!is.character(note)) {
if (!is.logical(note) || note) {
ck$er <- ck$t == 1 && ck$el
ck$spm <- txt$split != "none"
if (ck$er && all(vapply(cdat, function(d) {
if (!is.data.frame(d)) all(vapply(d, function(dd) !anyDuplicated(dd$x), TRUE)) else !anyDuplicated(d$x)
}, TRUE))) {
ck[c("el", "er")] <- FALSE
}
if (any(ck$cbn, ck$spm, ck$er, ck$t == 3 && ck$ltck)) {
if (ck$spm) {
tv <- unique(c(
if (seg$x$s) ptxt$x,
if (seg$by$s) ptxt$by,
if (seg$f1$s) ptxt$bet[1],
if (seg$f2$s) ptxt$bet[2],
if ("cbos" %in% names(ptxt)) ptxt$cbos
))
tv <- sub(", (?=[A-z0-9]+$)", if (length(tv) > 2) ", & " else " & ", paste(tv, collapse = ", "), perl = TRUE)
}
note <- paste0(
if (ck$spm) paste0(tv, " split by ", txt$split, ". "),
if (ck$er) paste("Error bars show", ifelse(ck$e, "standard error. ", "95% confidence intervals. ")),
if (ck$cbn) ptxt$cbn,
if (ck$t == 3 && ck$ltck) {
paste0("Line type: ", switch(ck$ltco,
li = "lm",
lo = "loess",
sm = "spline",
e = "connected",
pr = "probability"
), ".")
}
)
}
} else {
note <- ""
}
}
ck$sud <- (!is.logical(sud) || sud) && (is.character(sud) || ck$su || ck$c)
ck$sub <- (!is.logical(sub) || sub) && (is.character(sub) || seg$ll > 1 || ndisp)
pdo <- list(...)
l2m <- function(l) {
tl <- round(l^.5)
c(tl + all(l > c(tl^2, tl * (tl - 1))), tl)
}
seg$dim <- if (any(ckl <- c("mfrow", "mfcol") %in% names(pdo))) {
pdo[[if (ckl[1]) "mfrow" else "mfcol"]]
} else if (!seg$f1$e) {
c(1, 1)
} else if (!seg$f2$e) {
if (seg$f1$ll > 2) l2m(seg$f1$ll) else c(2, 1)
} else {
c(seg$f1$ll, seg$f2$ll)
}
seg$l <- t(data.frame(strsplit(names(cdat), ".^^.", fixed = TRUE)))
if (seg$f1$e) {
rownames(seg$l) <- match(seg$l[, 1], seg$f1$l)
seg[c("f1", "f2")] <- lapply(c("f1", "f2"), function(n) {
nl <- seg[[n]]
if (nl$e) nl$l <- unique(seg$l[, if (n == "f1") 1 else 2])
if (nl$e) nl$ll <- length(nl$l)
nl
})
}
nc <- seg$dim[1] * seg$dim[2]
if (length(ptxt$leg) == 1 && ptxt$leg == "NA") ck$leg <- 0
if (ck$leg == 1 && ck$legm && (dev.size(units = "in")[1] < 2 ||
(all(seg$dim == 1) && (ck$t != 1 || seg$by$ll < 9)))) {
ck$leg <- 2
}
if (ck$leg == 1) if (is.logical(leg) || is.character(leg)) leg <- nc + 1
dop <- par(no.readonly = TRUE)
if (drop["bet"] && !any(ckl) && any(nc - seg$ll >= seg$dim)) {
seg$dim <- l2m(seg$ll)
nc <- seg$dim[1] * seg$dim[2]
}
seg$dmat <- matrix(seq_len(nc), seg$dim[2], seg$dim[1])
if (!drop["bet"] && seg$f2$e) {
seg$lc <- vapply(seg$f1$l, function(l) seg$f2$l %in% seg$l[seg$l[, 1] == l, 2], logical(seg$f2$ll))
} else {
seg$lc <- seg$dmat == 0
seg$lc[seq_len(seg$ll)] <- TRUE
}
if (nc > seg$ll) {
if (any(ckl)) {
tm <- lapply(dim(seg$lc), seq_len)
mm <- matrix(FALSE, seg$dim[2], seg$dim[1])
mm[tm[[1]], tm[[2]]] <- seg$lc
seg$lc <- mm
}
if (!drop["bet"]) {
seg$dmat[seg$lc] <- seq_len(seg$ll)
seg$dmat[!seg$lc] <- seq_len(sum(!seg$lc)) + seg$ll
}
}
ck$legcol <- FALSE
if (lpos == "auto") "topright"
lega <- list(x = lpos, col = seg$lcols, cex = cex["leg"], text.font = font["leg"], bty = "n", x.intersp = .5, xjust = .5, legend = ptxt$leg)
if (ck$legt && (is.character(leg.title) && length(leg.title) == 1 || length(ptxt$by) == 1)) {
lega$title <- if (is.character(leg.title)) leg.title else ptxt$by
}
l <- length(lega$legend)
seg$lwd <- rep_len(if (is.numeric(lwd)) lwd else 2, seg$by$ll)
if (!"lty" %in% names(seg)) seg$lty <- rep_len(if (!ck$ltym && !ck$lty) lty else if (ck$cbleg && ck$cbb && seg$by$ll == length(cba$by)) as.numeric(cba$by) else if (ck$lty && lty) seq_len(6) else 1, seg$by$ll)
if (length(seg$cols) == length(seg$lcols)) names(seg$lcols) <- names(seg$cols)
if (seg$by$e || ck$cbb) names(seg$lwd) <- names(seg$lty) <- if (length(seg$lcols) == seg$by$ll) names(seg$lcols) else if (all(c(length(seg$lwd), length(seg$lty)) == length(seg$cols))) names(seg$cols) else seg$by$l
lega$lwd <- if (seg$by$ll == l) seg$lwd else rep_len(if (is.numeric(lwd)) lwd else 2, l)
lega$lty <- if (seg$by$ll == l) seg$lty else rep_len(if (!ck$ltym && !ck$lty) lty else if (ck$lty && lty) seq_len(6) else 1, l)
if (!missing(leg.args)) lega[names(leg.args)] <- leg.args
if (any(tck <- !names(lega) %in% names(formals(legend)))) {
warning("dropped items from leg.args: ", paste(names(lega)[tck], collapse = ", "), call. = FALSE)
lega <- lega[!tck]
}
if ((ck$legm || !ck$leg) && missing(leg.args) && (sum(strheight(lega$legend, "i")) * cex["leg"] * 1.5 / if ("ncol" %in% names(pdo)) {
pdo$ncol
} else {
1
}) > dev.size()[2]) {
ck$leg <- 0
if (ck$ltym) seg$lty[] <- 1
}
if (ck$leg == 1) {
if (ck$legm && nc > seg$ll) leg <- which(!seg$lc)[1]
if (nc > seg$ll && leg <= nc) {
if (seg$lc[leg] && !drop["bet"]) {
mm <- which(!seg$lc)
leg <- mm[which.min(abs(mm - leg))]
}
if (seg$lc[leg]) {
seg$lc[] <- TRUE
seg$lc[leg] <- FALSE
seg$lc[seg$lc][bsq <- seq_len(nc - seg$ll - 1) + seg$ll] <- FALSE
seg$dmat[seg$lc] <- seq_len(seg$ll)
seg$dmat[leg] <- seg$ll + 1
seg$lc[leg] <- TRUE
seg$dmat[!seg$lc] <- bsq + 1
} else {
seg$lc[leg] <- TRUE
seg$dmat[leg] <- seg$ll + 1
seg$dmat[!seg$lc] <- seq_len(sum(!seg$lc)) + seg$ll + 1
}
if (ck$lp) lega$x <- "center"
} else if (ck$lp) lega$x <- "right"
if (nc == seg$ll || leg > nc) {
seg$dmat[seg$dmat == seg$ll + 1] <- nc + 1
seg$dmat <- rbind(seg$dmat, rep.int(seg$ll + 1, seg$dim[1]))
ck$legcol <- TRUE
}
}
seg[c("dmat", "lc")] <- lapply(seg[c("dmat", "lc")], t)
seg$prat <- if (missing(prat) && ck$legcol) {
lw <- max(.4, if (ck$legt) strwidth(lega$title, "i"), strwidth(ptxt$leg, "i") / if (seg$ll > 1) 1.3 else 1.7) +
if (all(seg$dim == 1)) .5 else .2
fw <- (dev.size(units = "in")[1] - lw) / seg$dim[2]
c(fw, max(fw / 10, lw))
} else {
prat
}
op <- list(
oma = c(
sum(is.character(note) && note != "", ck$lx) + .15, ck$ly * .9,
max(sum((main != "") * 1.8 + if (sum(seg$dim) > 2) .5 else 0, ck$sud), 1), .5
),
mar = c(
if (ck$lx) 2 else 1.5, if (ck$ly) 3 else 2.4, (ck$sud && (ck$su || ck$c)) *
ifelse(seg$ll > 1, 2, 0) + (ck$sub && sum(seg$dim) > 2) * 1.3, 0
),
mgp = c(3, .3, 0),
font.main = 1,
font.lab = 2,
cex.main = 1,
cex.lab = 1,
cex.axis = 1,
tcl = -.2,
pch = 19,
xpd = NA
)
if (length(pdo) != 0) {
if (any(cpdo <- (npdo <- names(pdo)) %in% names(dop))) {
ck$mai <- "mai" %in% npdo
op[npdo[cpdo]] <- pdo[cpdo]
if ("font.sub" %in% names(op)) op$font.main <- op$font.sub
if ("cex.sub" %in% names(op)) op$cex.main <- op$cex.sub
if ("col.sub" %in% names(op)) op$col.main <- op$col.sub
}
pdo <- pdo[!cpdo]
}
if (!"horiz" %in% names(pdo) && !"ncol" %in% names(leg.args)) lega$ncol <- 1
if (length(pdo) != 0) {
if (any(cpdo <- (npdo %in% names(formals(legend)) & !npdo %in% names(leg.args)))) lega[npdo[cpdo]] <- pdo[cpdo]
if (any(!cpdo)) {
warning("unused argument", if (sum(!cpdo) == 1) ": " else "s: ",
paste(names(pdo)[!cpdo], collapse = ", "),
call. = FALSE
)
}
}
expand_color_code <- function(e) {
if (is.character(e) && all(grepl("^#[0-9a-f]{3}$", e, TRUE))) paste0(e, substring(e, 2)) else e
}
pdo <- lapply(pdo, expand_color_code)
op <- lapply(op, expand_color_code)
if (dark) {
op$fg <- op$col <- op$col.axis <- op$col.main <- op$col.sub <- op$col.sub <- "white"
if (is.null(op$bg) && par("bg") == "white") warning("foreground and background are both white")
}
par(op)
on.exit(par(dop))
layout(seg$dmat, c(rep.int(seg$prat[1], seg$dim[2]), if (ck$legcol) seg$prat[if (length(seg$prat) > 1) 2 else 1]))
success <- FALSE
ck$scol <- "scols" %in% names(seg)
for (i in names(cdat)) {
tryCatch(
{
# plotting
cl <- (if ("list" %in% class(cdat[[i]])) vapply(cdat[[i]], NROW, 0) else nrow(cdat[[i]])) > 0
if (any(!cl)) {
cdat[[i]] <- cdat[[i]][cl]
if (length(cdat[[i]]) == 0) next
}
if (ck$scol) seg$cols <- seg$lcols <- seg$scols[[i]]
cl <- strsplit(i, ".^^.", fixed = TRUE)[[1]]
ptxt$sub <- if (is.character(sub)) {
sub
} else if (ck$sub) {
if (seg$ll > 1 || (!missing(ndisp) && ndisp)) {
paste0(
if (seg$f1$e) {
paste0(
if (lvn || (ck$mlvn && grepl("^[0-9]", cl[1]))) paste0(ptxt$bet[1], ": "), cl[1],
if (seg$f2$e) paste0(", ", if (lvn || (ck$mlvn && grepl("^[0-9]", cl[2]))) paste0(ptxt$bet[2], ": "), cl[2])
)
}, if ((length(names(cdat)) > 1 || !missing(ndisp)) && ndisp) paste(", n =", seg$n[i])
)
} else {
""
}
}
if (!is.null(sort) && ck$t != 2 && any(class(if (seg$by$e) cdat[[i]][[1]][, "x"] else cdat[[i]][, "x"]) %in%
c("factor", "character"))) {
nsl <- grepl("^[Ff]", as.character(sort))
sdir <- grepl("^[DdTt]", as.character(sort))
td <- if (seg$by$e) do.call(rbind, cdat[[i]]) else cdat[[i]]
td[, "x"] <- as.character(td[, "x"])
cdat[[i]] <- do.call(rbind, lapply(
if (nsl) {
lvs(td[, "x"])
} else {
names(sort(vapply(split(td[, "y"], td[, "x"]), mean, 0, na.rm = TRUE), sdir))
},
function(l) td[td[, "x"] == l, , drop = FALSE]
))
seg$x$l <- ptxt$l.x <- lvs(cdat[[i]][, "x"])
cdat[[i]][, "x"] <- factor(cdat[[i]][, "x"], seg$x$l)
if (seg$by$e) cdat[[i]] <- split(cdat[[i]], cdat[[i]][, "by"])
}
if (ck$t == 1) {
# bar and line
flipped <- FALSE
if (missing(byx) && ck$mv && any(vapply(cdat[[i]], function(d) {
any(vapply(
split(d$y, as.character(d$x)),
function(dl) if (length(dl) == 1) 0 else var(dl), 0
) == 0)
}, TRUE))) {
byx <- FALSE
}
if (byx && lim < Inf && seg$by$e && (is.list(cdat[[i]]) && length(cdat[[i]]) > 1)) {
flipped <- TRUE
cdat[[i]] <- do.call(rbind, cdat[[i]])
cdat[[i]][c("x", "by")] <- cdat[[i]][c("by", "x")]
if (is.numeric(cdat[[i]]$x)) cdat[[i]]$x <- as.character(cdat[[i]]$x)
cdat[[i]] <- split(cdat[[i]], cdat[[i]]$by)[lvs(cdat[[i]]$by)]
}
dl <- if (cl <- "list" %in% class(cdat[[1]])) length(cdat[[i]]) else 1
mot <- paste0("y~0+", paste(names(if (cl) cdat[[i]][[1]] else cdat[[i]])[c(2, cvar)], collapse = "+"))
m <- pe <- ne <- matrix(NA, seg$by$ll, max(c(1, length(seg$x$l))), dimnames = list(seg$by$l, seg$x$l))
if (flipped) m <- pe <- ne <- t(m)
rn <- if (nrow(m) == 1) 1 else rownames(m)
cn <- if (seg$by$e && flipped) seg$by$l else colnames(m)
for (l in seq_len(dl)) {
ri <- rn[l]
td <- if (cl) cdat[[i]][[ri]] else cdat[[i]]
if (is.null(td)) next
if (nrow(td) > 1 && length(unique(td$x)) > 1) {
mo <- lm(mot, data = td)
ccn <- sub("^x", "", names(mo$coef))
sus <- which(ccn %in% cn)
su <- ccn[sus]
m[ri, su] <- mo$coef[sus]
if (nrow(td) > 2 && anyDuplicated(td$x)) {
if (ck$e) {
e <- suppressWarnings(summary(update(mo, ~ . - 0))$coef[sus, 2])
e <- e[c(2, seq_along(e)[-1])]
pe[ri, su] <- m[l, su] + e
ne[ri, su] <- m[l, su] - e
} else {
e <- confint(mo)[sus, ]
pe[ri, su] <- e[, 2]
ne[ri, su] <- e[, 1]
}
}
} else {
if (nrow(td) == 0) next
mo <- lapply(split(td, td["x"]), function(s) if (nrow(s) == 0) NA else mean(s[is.finite(s[, "y"]), "y"]))
m[ri, ] <- unlist(mo[colnames(m)])
}
}
re <- if (flipped) list(m = t(m), ne = t(ne), pe = t(pe)) else list(m = m, ne = ne, pe = pe)
if (ck$ltm && all(apply(is.na(re$m), 2, any))) {
drop["x"] <- FALSE
line.type <- "b"
}
dx <- !apply(is.na(re$m), 2, all)
if (drop["x"]) re <- lapply(re, function(s) s[, dx, drop = FALSE])
m <- re$m
ne <- re$ne
pe <- re$pe
if (all(mna <- is.na(m))) next
re <- lapply(re, function(s) {
na <- is.na(s)
s[na] <- m[na]
s[!mna]
})
if (ck$el) ck$el <- all(round(re$m - re$ne, 8) != 0)
lb <- min(re$m) - if (!ck$el) round((max(re$m) - min(re$m)) / 10) else max(abs(re$m - re$ne)) * 1.2
if (ck$b && !ck$el) lb <- lb - (max(re$m) - min(re$m)) * .1
dm <- dim(m)
ylim <- if (missing(myl)) c(lb, max(re$m) + if (ck$el) max(abs(re$m - re$pe)) else 0) else myl
if (ck$leg == 2 && ck$lp) {
if (!seg$by$e && ncol(m) == 2) {
lega$x <- "top"
} else {
lega$x <- apply(m, 2, function(r) {
na <- !is.na(r)
if (any(na)) max(r[na]) else -Inf
})
stw <- ncol(m)
oyl <- if (stw %% 2) 3 else 2
lega$x <- c("topleft", "top", "topright")[if (oyl == 2) -2 else 1:3][which.min(vapply(split(lega$x, rep(seq_len(oyl),
each = stw / oyl
)[seq_len(stw)]), mean, 0, na.rm = TRUE))]
if (is.na(lega$x)) lega$x <- "topright"
}
}
if (any(is.na(ylim))) next
oyl <- axTicks(2, c(ylim[1], ylim[2], par("yaxp")[3]))
rn <- if (nrow(m) == 1) colnames(m) else rownames(m)
colnames(m) <- if (drop["x"] && sum(dx) == ncol(m)) ptxt$l.x[dx] else ptxt$l.x
stw <- strwidth(colnames(m), "i")
if ((missing(xlas) || xlas > 1) && sum(stw) > par("fin")[1] - sum(par("omi")[c(2, 4)]) - dm[2] * .1 && par("fin")[1] > 2.5) {
xlas <- 3
if (missing(mxl)) mxl <- c(1, dm[2])
mh <- c(par("fin")[2] / 2, max(stw))
par(mai = if (ck$mai) op$mai else c(min(mh) + .25, par("mai")[-1]))
if (mh[1] < mh[2] && missing(labels.trim)) {
mh <- round(mh[1] / .1)
n <- colnames(m)
ln <- nchar(n) > mh
colnames(m)[ln] <- sub("$", "...", strtrim(n[ln], mh))
}
}
if (min(re$ne, na.rm = TRUE) >= 0) autori <- FALSE
rck <- !is.list(seg$cols) && all(rn %in% names(seg$cols))
if (rck && length(seg$cols) < dm[1]) seg$cols <- rep_len(seg$cols, dm[1])
if (!rck && ck$ltm && !ck$el) line.type <- "b"
if (ck$b) {
if (autori) {
a <- if (missing(myl)) lb else myl[1]
a <- a * -1
m <- m + a
ne <- ne + a
pe <- pe + a
ayl <- oyl + a
aj <- lapply(re, "+", a)
ylim <- if (missing(myl)) {
if (!ck$el) {
ylim + a
} else {
c(
min(aj$m) - max(abs(aj$m - aj$ne)) * 1.2,
max(aj$m) + max(abs(aj$m - aj$pe)) * if (ck$leg == 2 && seg$by$ll > 1) seg$by$ll^.3 + .7 else 1.2
)
}
} else {
myl + a
}
}
if (dm[1] != 1) rownames(m) <- ptxt$l.by[rn]
lega[c("lwd", "lty")] <- NULL
lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35))
p <- barplot(m,
beside = TRUE, col = if (rck) seg$cols[rn] else seg$cols, axes = FALSE, axisnames = FALSE,
border = NA, ylab = NA, xlab = NA, ylim = ylim, main = if (ck$sub) ptxt$sub else NA,
xpd = if ("xpd" %in% names(pdo)) pdo$xpd else if (autori) NA else FALSE
)
} else {
p <- matrix(rep.int(seq_len(dm[2]), dm[1]), nrow = dm[1], byrow = TRUE)
plot(NA,
ylim = ylim, xlim = if (missing(mxl)) c(1 - stw[1] / 3, dm[2] + stw[length(stw)] / 3) else mxl, ylab = NA, xlab = NA,
main = if (ck$sub) ptxt$sub else NA, axes = FALSE
)
for (a in if (dm[1] == 1) 1 else if (all(rn %in% names(seg$cols))) rn else seq_len(dm[1])) {
graphics::lines(m[a, ], col = seg$cols[[a]], lty = seg$lty[[a]], lwd = seg$lwd[[a]], type = line.type)
}
}
if (ck$ileg) lega$legend <- rn
if (xaxis) axis(1, colMeans(p), colnames(m), FALSE, las = xlas, cex = par("cex.axis"), fg = par("col.axis"))
a2a <- list(2, las = ylas, cex = par("cex.axis"), fg = par("col.axis"))
if (ck$b && autori) {
a2a$at <- ayl
a2a$labels <- formatC(oyl, 2, format = "f")
}
if (yaxis) do.call(axis, a2a)
if (ck$el) {
te <- round(Reduce("-", list(ne, pe)), 8)
te[is.na(te)] <- 0
te <- te == 0
if (any(te)) ne[te] <- pe[te] <- NA
arrows(p, ne, p, pe, lwd = error.lwd, col = error.color, angle = 90, code = 3, length = .05)
}
} else if (ck$t == 2) {
# density
if (!is.list(density.args)) density.args <- list()
fdan <- names(formals(stats::density.default))
dan <- names(density.args)
if (any(mdan <- !dan %in% fdan)) {
warning(paste("unused density argument(s):", paste(dan[mdan], collapse = ", ")), call. = FALSE)
density.args <- density.args[!mdan]
}
density.args$give.Rkern <- FALSE
if (!missing(mxl)) {
if (!"from" %in% dan) density.args$from <- mxl[1]
if (!"to" %in% dan) density.args$to <- mxl[2]
}
if (!"n" %in% dan) density.args$n <- 512
n <- density.args$n
m <- list()
dl <- if (cl <- "list" %in% class(cdat[[i]])) length(cdat[[i]]) else 1
rnl <- logical(dl)
rn <- if (is.data.frame(cdat[[i]])) names(ptxt$l.by) else names(cdat[[i]])
dx <- dy <- numeric(n * seg$by$ll)
for (l in seq_len(dl)) {
tryCatch(
{
density.args$x <- (if (cl) cdat[[i]][[l]] else cdat[[i]])[, "y"]
m[[l]] <- do.call(stats::density, density.args)
dx[seq_len(n) + n * (l - 1)] <- m[[l]]$x
dy[seq_len(n) + n * (l - 1)] <- m[[l]]$y
rnl[l] <- TRUE
},
error = function(e) NULL
)
}
names(m) <- rn <- rn[rnl]
if (seg$by$ll > 1 || (ck$polyo && ck$poly)) {
plot(NA,
xlim = if (missing(mxl)) range(c(dx, dx)) else mxl, ylim = if (missing(myl)) c(0, max(dy)) else myl,
main = if (ck$sub) ptxt$sub else NA, ylab = NA, xlab = NA, axes = FALSE, xpd = if ("xpd" %in% names(pdo)) pdo$xpd else FALSE
)
for (l in if (seg$by$ll > 1 && all(rn %in% names(seg$cols))) rn else seq_along(m)) {
if (ck$poly) polygon(m[[l]], col = adjustcolor(seg$cols[[l]], density.opacity), border = NA)
if (!is.logical(lines) || lines) graphics::lines(m[[l]], col = seg$cols[[l]], lwd = seg$lwd[[l]], lty = seg$lty[[l]])
}
if (ck$ileg) lega$legend <- rn
} else {
col <- if (length(seg$lcols) > 2) "#555555" else seg$lcols[1]
if (ck$leg) {
lega[c("lwd", "lty")] <- NULL
lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35))
}
y <- (if (cl) cdat[[i]][[1]] else cdat[[i]])[, "y"]
hp <- hist(y, breaks, plot = FALSE)
if (ck$cb && length(seg$cols) == nr) {
nb <- length(hp$counts)
seg$cols <- vapply(split(seg$cols[order(y)], sort(rep_len(seq_len(nb), nr))), csf, "")
if (!ckn) seg$cols <- adjustcolor(seg$cols, 1, color.offset, color.offset, color.offset)
} else if (!color.lock && (ck$co || length(seg$cols) == 1)) {
seg$cols[2] <- adjustcolor(seg$cols[1], 1, color.offset, color.offset, color.offset)
}
hist(
y, breaks, FALSE,
border = if ("border" %in% names(pdo)) pdo$border else par("bg"), main = if (ck$sub) ptxt$sub else NA,
ylab = NA, xlab = NA, axes = FALSE, col = if (length(seg$cols) == 2) seg$cols[2] else seg$cols,
xlim = if (missing(mxl)) range(hp$breaks) else mxl,
ylim = if (missing(myl)) c(0, max(c(dy, hp$density))) else myl
)
if (!is.logical(lines) || lines) {
graphics::lines(m[[1]], col = col, lwd = lwd, xpd = if ("xpd" %in% names(pdo)) {
pdo$xpd
} else {
FALSE
})
}
}
if (ck$lp && ck$leg == 2) lega$x <- if (mean(dx) > mean(range(dx))) "topleft" else "topright"
if (xaxis) axis(1, las = xlas, cex = par("cex.axis"), fg = par("col.axis"))
if (yaxis) axis(2, las = ylas, cex = par("cex.axis"), fg = par("col.axis"))
} else {
# scatter
dl <- if (cl <- "list" %in% class(cdat[[i]])) length(cdat[[i]]) else 1
rn <- if (is.data.frame(cdat[[i]])) seg$by$l else names(cdat[[i]])
td <- if (cl) do.call(rbind, cdat[[i]]) else cdat[[i]]
cx <- td[, "x"]
cy <- td[, "y"]
xch <- if (is.numeric(cx) || is.logical(cx)) cx else as.numeric(factor(cx))
a2a <- list(cex = par("cex.axis"), fg = par("col.axis"))
if (length(ptxt$l.x) != 0) {
a2a$tick <- FALSE
a2a$at <- seq_along(ptxt$l.x)
a2a$labels <- ptxt$l.x
if (missing(xlas) || xlas > 1) {
xlas <- 3
par(mai = if (ck$mai) {
op$mai
} else {
c(
min(c(par("fin")[2] / 2, max(strwidth(ptxt$l.x, "i")))) + .25, par("mai")[-1]
)
})
}
}
plot(
NA,
xlim = if (missing(mxl)) range(xch, na.rm = TRUE) else mxl,
ylim = if (missing(myl)) {
c(min(cy, na.rm = TRUE), max(cy, na.rm = TRUE) + max(cy, na.rm = TRUE) *
if (ck$leg == 1 && seg$by$ll < lim) seg$by$ll / 20 else 0)
} else {
myl
},
main = if (ck$sub) ptxt$sub else NA, ylab = NA, xlab = NA, axes = FALSE
)
if (yaxis) {
do.call(axis, c(list(2, las = ylas), c(
a2a[c("cex", "fg")],
if ("yax" %in% names(txt)) list(at = seq_along(txt$yax), labels = txt$yax, tick = FALSE)
)))
}
if (xaxis) do.call(axis, c(list(1, las = xlas), a2a))
if (ck$leg > 1) {
up <- xch[cy >= quantile(cy, na.rm = TRUE)[4]]
mr <- quantile(xch, na.rm = TRUE)
if (ck$lp) lega$x <- if (sum(up < mr[2]) > sum(up > mr[4])) "topright" else "topleft"
if (ck$ileg) lega$legend <- rn
}
padj <- if (color.lock || ck$cb || (missing(color.offset) && !ck$ltck)) 1 else color.offset
ckcn <- all(rn %in% names(seg$cols))
ckln <- all(rn %in% names(seg$lcols))
if (!ckln) {
if (ckcn) {
seg$lcols <- seg$cols
} else {
seg$lcols[] <- if (opacity != 1) {
adjustcolor("#555555", opacity)
} else {
"#555555"
}
}
}
lwd <- rep_len(if (is.numeric(lwd)) lwd else 2, dl)
for (l in if (ckcn) rn else seq_len(dl)) {
td <- if (cl) cdat[[i]][[l]] else cdat[[i]]
if (is.null(td)) next
x <- td[, "x"]
y <- td[, "y"]
col <- if (ckcn) seg$cols[[l]] else seg$cols
if (opacity != 1 || padj != 1) col <- adjustcolor(col, opacity, padj, padj, padj)
if (points && points.first) points(x, y, col = col, cex = cex["points"])
if (ck$ltck) {
lt <- if (ck$ltco == "pr" && length(unique(y)) != 2) "li" else ck$ltco
fit <- if (lt == "e") {
y
} else {
tryCatch(
{
if (ck$c) {
lm(y ~ x + as.matrix(td[, cvar, drop = FALSE]))$fitted
} else if (lt == "pr") {
yr <- range(y)
y <- factor(y, labels = c(0, 1))
fit <- predict(glm(y ~ x, binomial))
fit <- exp(fit) / (1 + exp(fit))
if (!all(yr == c(0, 1))) fit <- (fit - mean(fit)) * (yr[2] - yr[1]) + mean(yr)
if (max(fit) > yr[2]) fit - (max(fit) - yr[2]) else fit
} else {
predict(switch(lt,
li = lm,
lo = loess,
sm = smooth.spline
)(y ~ x))
}
},
error = function(e) {
warning("error estimating line: ", e$message, call. = FALSE)
NULL
}
)
}
if (!is.null(fit)) {
if (lt == "e") {
xo <- x
} else if (lt == "sm") {
xo <- fit$x
fit <- fit$y
} else {
or <- order(x)
xo <- x[or]
fit <- fit[or]
}
graphics::lines(xo, fit, col = seg$lcols[[l]], lty = seg$lty[[l]], lwd = seg$lwd[[l]])
}
}
if (points && !points.first) points(x, y, col = col, cex = cex["points"])
}
}
if (ck$leg == 2) {
if (ck$lpm) {
message("click to place the legend")
lega[c("x", "y")] <- locator(1)
if (is.null(lega$x)) {
warning("placing the legend with locator(1) failed")
lega$y <- NULL
lega$x <- if (seg$ll > 1) "topright" else "right"
}
}
tf <- par("font")
par(font = font["leg.title"])
do.call(legend, lega)
par(font = tf)
}
success <- TRUE
if (!missing(add)) {
add_attempt <- tryCatch(eval(substitute(add), fdat), error = function(e) list(failed = TRUE))
if (is.list(add_attempt) && isTRUE(add_attempt$failed)) {
tryCatch(
eval(substitute(add), parent.frame(1)),
error = function(e) warning("error from add: ", e$message, call. = FALSE)
)
}
}
},
error = function(e) {
dev.off()
stop(e)
}
)
}
if (!success) stop("failed to make any plots with the current input", call. = FALSE)
if (ck$leg == 1) {
if (all(par("mfg")[1:2] != 0)) {
plot.new()
if (ck$b) lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35))
if (ck$lpm) {
message("click to place the legend")
lega[c("x", "y")] <- locator(1)
if (is.null(lega$x)) {
warning("placing the legend with locator(1) failed")
lega$y <- NULL
lega$x <- if (seg$ll > 1) "topright" else "right"
}
}
tf <- par("font")
par(font = font["leg.title"])
do.call(legend, lega)
par(font = tf)
} else {
warning("legend positioning failed", call. = FALSE)
}
}
if (ck$sud && any(ck$su, ck$c, is.character(sud))) {
mtext(
if (is.character(sud)) {
sud
} else {
gsub(", (?=[A-z0-9 ]+$)", ifelse(length(ptxt$cov) > 2, ", & ", " & "), gsub("^ | $", "", paste0(if (ck$su) {
paste("Subset:", paste0(txt$su[1], if (length(txt$su) != 1) "..."))
}, if (ck$su && ck$c) ", ", if (ck$c) {
paste(if (ck$t == 1) "Covariates:" else "Line adjustment:", paste(ptxt$cov, collapse = ", "))
})), TRUE, TRUE)
},
3, 0, TRUE,
cex = cex["sud"], font = font["sud"]
)
}
mtext(main, 3, if (ck$sud) 1.5 else .5, TRUE, cex = cex["title"], font = font["title"])
mtext(ylab, 2, -.2, TRUE, cex = par("cex.lab"), font = par("font.lab"))
mtext(xlab, 1, 0, TRUE, cex = par("cex.lab"), font = par("font.lab"))
if (is.character(note)) mtext(note, 1, ck$lx, TRUE, adj = if (ck$ly) 0 else .01, font = font["note"], cex = cex["note"])
if (save || (missing(save) && any(!missing(format), !missing(file.name), !missing(dims)))) {
tryCatch(
{
if (is.character(format) || is.name(format)) {
t <- as.character(format)
format <- eval(parse(text = t))
} else {
t <- deparse(substitute(format))
}
if (is.function(format)) t <- sub("^[^:]*::", "", t)
tt <- if (any(grepl("cairo", t, TRUE))) {
paste0(".", tolower(strsplit(t, "_|Cairo")[[1]][2]))
} else if (t == "postscript") ".ps" else paste0(".", t)
if (missing(dims) && grepl("jpeg|png|tiff|bmp|bit", t, TRUE)) dims <- dev.size(units = "px")
fn <- paste0(if (main == "" || !missing(file.name)) {
sub("\\.[^.]+$", "", file.name)
} else {
gsub("\\s+", "_", gsub("^ +| +$| ", "", main))
}, tt)
dev.copy(format, fn, width = dims[1], height = dims[2])
dev.off()
if (file.exists(fn)) message("image saved: ", fn) else warning("failed to save image")
},
error = function(e) warning("unable to save image: ", e$message, call. = FALSE)
)
}
invisible(list(dat = dat, cdat = cdat, txt = txt, ptxt = ptxt, seg = seg, ck = ck, lega = lega, fmod = fmod))
}
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Defines functions splot
Documented in splot
#' Split Plot
#'
#' A plotting function aimed at automating some common visualization tasks in order to ease data exploration.
#' @param y a formula (see note), or the primary variable(s) to be shown on the y axis (unless \code{x} is not specified).
#' When not a formula, this can be one or more variables as objects, or names in \code{data}.
#' @param data a \code{data.frame} to pull variables from. If variables aren't found in \code{data}, they will be looked
#' for in the environment.
#' @param su a subset to all variables, applied after they are all retrieved from \code{data} or the environment.
#' @param type determines the type of plot to make, between \code{"bar"}, \code{"line"}, \code{"density"}, or
#' \code{"scatter"}. If \code{"density"}, \code{x} is ignored. Anything including the first letter of each is accepted
#' (e.g., \code{type='l'}).
#' @param split how to split any continuous variables (those with more than \code{lim} levels as factors). Default is
#' \code{"median"}, with \code{"mean"}, \code{"standard deviation"}, \code{"quantile"}, or numbers as options. If
#' numbers, the variable is either cut at each value in a vector, or broken into roughly equal chunks. Entering an
#' integer (e.g., \code{split = 3L}) that is greater than 1 will force splitting into segments. Otherwise variables will
#' be split by value if you enter a single value for split and there are at least two data less than or equal to and
#' greater than the split, or if you enter more than 1 value for split. If a numeric split is not compatible with
#' splitting by value or segment, splitting will default to the median.
#' @param levels a list with entries corresponding to variable names, used to rename and/or reorder factor levels. To
#' reorder a factor, enter a vector of either numbers or existing level names in the new order (e.g.,
#' \code{levels =} \code{list(var =} \code{c(3,2,1))}). To rename levels of a factor, enter a character vector the same
#' length as the number of levels. To rename and reorder, enter a list, with names as the first entry, and order as the
#' second entry (e.g., \code{levels =} \code{list(var =} \code{list(c('a','b','c'),} \code{c(3,2,1)))}). This happens
#' after variables are split, so names and orders should correspond to the new split levels of split variables. For
#' example, if a continuous variable is median split, it now has two levels ('Under Median' and 'Over Median'), which are
#' the levels reordering or renaming would apply to. Multiple variables entered as \code{y} can be renamed and sorted
#' with an entry titled \code{'mv'}.
#' @param sort specified the order of character or factor \code{x} levels. By default, character or factor \code{x} levels
#' are sorted alphabetically. \code{FALSE} will prevent this (preserving entered order). \code{TRUE} or \code{'d'} will
#' sort by levels of \code{y} in decreasing order, and anything else will sort in increasing order.
#' @param error string; sets the type of error bars to show in bar or line plots, or turns them off. If \code{FALSE}, no
#' error bars will be shown. Otherwise, the default is \code{"standard error"} (\code{'^s'}), with \code{"confidence
#' intervals"} (anything else) as an option.
#' @param error.color color of the error bars. Default is \code{'#585858'}.
#' @param error.lwd line weight of error bars. Default is 2.
#' @param lim numeric; checked against the number of factor levels of each variable. Used to decide which variables should
#' be split, which colors to use, and when to turn off the legend. Default is \code{9}. If set over \code{20}, \code{lim}
#' is treated as infinite (set to \code{Inf}).
#' @param lines logical or a string specifying the type of lines to be drawn in scatter plots. By default (and whenever
#' \code{cov} is not missing, or if \code{lines} matches \code{'^li|^lm|^st'}), a prediction line is fitted with
#' \code{\link[stats]{lm}}. For (potentially) bendy lines, \code{'loess'} (matching \code{'^loe|^po|^cu'}) will use
#' \code{\link[stats]{loess}}, and \code{'spline'} (\code{'^sm|^sp|^in'}) will use \code{\link[stats]{smooth.spline}}.
#' If \code{y} is not numeric and has only 2 levels, \code{'probability'} (\code{'^pr|^log'}) will draw probabilities
#' estimated by a logistic regression (\code{glm(y ~} \code{x, binomial)}). \code{'connected'} (\code{'^e|^co|^d'}) will
#' draw lines connecting all points, and \code{FALSE} will not draw any lines.
#' @param colors sets a color theme or manually specifies colors. Default theme is \code{"pastel"}, with \code{"dark"} and
#' \code{"bright"} as options; these are passed to \code{\link{splot.color}}. If set to \code{"grey"}, or if \code{by}
#' has more than 9 levels, a grey scale is calculated using \code{\link[grDevices]{gray}}. See the \code{col} parameter
#' in \code{\link[graphics]{par}} for acceptable manual inputs. To set text and axis colors, \code{col} sets outside
#' texts (title, sud, labx, laby, and note), \code{col.sub} or \code{col.main} sets the frame titles, and \code{col.axis}
#' sets the axis text and line colors. To set the color of error bars, use \code{error.color}. For histograms, a vector of
#' two colors would apply to the density line and bars separately (e.g., for \code{color =} \code{c('red','green')}, the
#' density line would be red and the histogram bars would be green). See the \code{color.lock} and \code{color.offset}
#' arguments for more color controls.
#' @param colorby a variable or list of arguments used to set colors and the legend, alternatively to \code{by}. If
#' \code{by} is not missing, \code{colorby} will be reduced to only the unique combinations of \code{by} and \code{colorby}.
#' For example, if \code{by} is a participant ID with multiple observations per participant, and \code{by} is a condition
#' ID which is the same for all observations from a given participant, \code{colorby} would assign a single color to each
#' participant based on their condition. A list will be treated as a call to \code{\link{splot.color}}, so arguments can be
#' entered positionally or by name. Data entered directly into splot can be accessed by position name preceded by a
#' period. For example, \code{splot(rnorm(100),} \code{colorby=.y)} would draw a histogram, with bars colored by the value
#' of \code{y} (\code{rnorm(100)} in this case).
#' @param ... passes additional arguments to \code{\link[graphics]{par}} or \code{\link[graphics]{legend}}. Arguments before
#' this can be named partially; those after must by fully named.
#' @param colorby.leg logical; if \code{FALSE}, a legend for \code{colorby} is never drawn. Otherwise, a legend for
#' \code{colorby} will be drawn if there is no specified \code{by}, or for non-scatter plots (overwriting the usual legend).
#' @param color.lock logical; if \code{FALSE}, colors will not be adjusted to offset lines from points or histogram bars.
#' @param color.offset how much points or histogram bars should be offset from the initial color used for lines. Default is
#' 1.1; values greater than 1 lighten, and less than 1 darken.
#' @param color.summary specifies the function used to collapse multiple colors for a single display. Either a string
#' matching one of \code{'mean'} (which uses \code{\link{splot.colormean}} to average RGB values), \code{'median'} (
#' which treats codes as ordered, and selects that at the rounded median), or \code{'mode'} (which selects the most
#' common code), or a function which takes color codes in its first argument, and outputs a single color code as a
#' character.
#' @param opacity a number between 0 and 1; sets the opacity of points, lines, and bars. Semi-opaque lines will sometimes
#' not be displayed in the plot window, but will show up when the plot is written to a file.
#' @param dark logical; if \code{TRUE}, sets text and axis colors to \code{"white"}. Defaults to the \code{splot.dark}
#' option.
#' @param x secondary variable, to be shown in on the x axis. If not specified, \code{type} will be set to \code{'density'}.
#' If \code{x} is a factor or vector of characters, or has fewer than \code{lim} levels when treated as a factor,
#' \code{type} will be set to \code{'line'} unless specified.
#' @param by the 'splitting' variable within each plot, by which the plotted values of \code{x} and \code{y} will be
#' grouped.
#' @param between a single object or name, or two in a vector (e.g., \code{c(b1, b2)}), the levels of which will determine
#' the number of plot windows to be shown at once (the cells in a matrix of plots; levels of the first variable as rows,
#' and levels of the second as columns).
#' @param cov additional variables used for adjustment. Bar and line plots include all \code{cov} variables in their
#' regression models (via \code{\link[stats]{lm}}, e.g., \code{lm(y ~ 0 + x + cov1 + cov2)}) as covariates. Scatter plots
#' with lines include all \code{cov} variables in the regression model to adjust the prediction line (e.g.,
#' \code{lm(y ~ x + x^2)}).
#' \code{\link[graphics]{par}} options \code{col}, \code{mfrow}, \code{oma}, \code{mar}, \code{mgp}, \code{font.main},
#' \code{cex.main}, \code{font.lab}, \code{tcl}, \code{pch}, \code{lwd}, and \code{xpd} are all set within the function,
#' but will be overwritten if they are included in the call. For example, \code{col} sets font colors in this case
#' (as opposed to \code{colors} which sets line and point colors). The default is \code{'#303030'} for a nice dark grey,
#' but maybe you want to lighten that up: \code{col='#606060'}. After arguments have been applied to
#' \code{\link[graphics]{par}}, if any have not been used and match a \code{\link[graphics]{legend}} argument, these will
#' be applied to \code{\link[graphics]{legend}}.
#' @param line.type a character setting the style of line (e.g., with points at joints) to be drawn in line plots. Default
#' is \code{'b'} if \code{error} is \code{FALSE}, and \code{'l'} otherwise. See the \code{line} argument of
#' \code{\link[graphics]{plot.default}} for options. \code{line.type='c'} can look nice when there aren't a lot of
#' overlapping error bars.
#' @param mv.scale determines whether to center and scale multiple \code{y} variables. Does not center or scale by default.
#' Anything other than \code{'none'} will mean center each numeric \code{y} variable. Anything matching \code{'^t|z|sc'}
#' will also scale.
#' @param mv.as.x logical; if \code{TRUE}, variable names are displayed on the x axis, and \code{x} is treated as \code{by}.
#' @param save logical; if \code{TRUE}, an image of the plot is saved to the current working directory.
#' @param format the type of file to save plots as. Default is \code{cairo_pdf}; see
#' \code{\link[grDevices]{Devices}} for options.
#' @param dims a vector of 2 values (\code{c(width, height)}) specifying the dimensions of a plot to save in inches or
#' pixels depending on \code{format}. Defaults to the dimensions of the plot window.
#' @param file.name a string with the name of the file to be save (excluding the extension, as this is added depending on
#' \code{format}).
#' @param myl sets the range of the y axis (\code{ylim} of \code{\link{plot}} or \code{\link[graphics]{barplot}}).
#' If not specified, this will be calculated from the data.
#' @param mxl sets the range of the x axis (\code{xlim} of \code{\link{plot}}). If not specified, this will be
#' calculated from the data.
#' @param autori logical; if \code{FALSE}, the origin of plotted bars will be set to 0. Otherwise, bars are adjusted such
#' that they extend to the bottom of the y axis.
#' @param xlas,ylas numeric; sets the orientation of the x- and y-axis labels. See \code{\link[graphics]{par}}.
#' @param xaxis,yaxis logical; if \code{FALSE}, the axis will not be drawn.
#' @param breaks determines the width of histogram bars. See \code{\link[graphics]{hist}}.
#' @param density.fill logical; \code{FALSE} will turn off polygon fills when they are displayed, \code{TRUE} will replace
#' histograms with polygons.
#' @param density.opacity opacity of the density polygons, between 0 and 1.
#' @param density.args list of arguments to be passed to \code{\link[stats]{density}}.
#' @param leg sets the legend inside or outside the plot frames (when a character matching \code{'^i'}, or a character
#' matching \code{'^o'} or a number respectively), or turns it off (when \code{FALSE}). When inside, a legend is drawn in
#' each plot frame. When outside, a single legend is drawn either to the right of all plot frames, or within an empty
#' plot frame. By default, this will be determined automatically, tending to set legends outside when there are multiple
#' levels of \code{between}. A number will try and set the legend in an empty frame within the grid of plot frames. If
#' there are no empty frames, the legend will just go to the side as if \code{leg='outside'}.
#' @param lpos sets the position of the legend within its frame (whether inside or outside of the plot frames) based on
#' keywords (see \code{\link[graphics]{legend}}. By default, when the legend is outside, \code{lpos} is either
#' \code{'right'} when the legend is in a right-hand column, or \code{'center'} when in an empty plot frame. When the
#' legend is inside and \code{lpos} is not specified, the legend will be placed automatically based on the data. Set to
#' \code{'place'} to manually place the legend; clicking the plot frame will set the top left corner of the legend.
#' @param lvn level variable name. Logical: if \code{FALSE}, the names of by and between variables will not be shown
#' before their level (e.g., for a sex variable with a "female" level, "sex: female" would become "female" above each
#' plot window).
#' @param leg.title sets the title of the legend (which is the by variable name by default), or turns it off with
#' \code{FALSE}.
#' @param leg.args a list passing arguments to the \code{\link[graphics]{legend}} call.
#' @param title logical or a character: if \code{FALSE}, the main title is turned off. If a character, this will be shown
#' as the main title.
#' @param labx,laby logical or a character: if \code{FALSE}, the label on the x axis is turned off. If a character, this
#' will be shown as the axis label.
#' @param lty logical or a vector: if \code{FALSE}, lines are always solid. If a vector, changes line type based on each
#' value. Otherwise loops through available line types, see \code{\link[graphics]{par}}.
#' @param lwd numeric; sets the weight of lines in line, density, and scatter plots. Default is 2. See
#' \code{\link[graphics]{par}}.
#' @param sub affects the small title above each plot showing \code{between} levels; text replaces it, and \code{FALSE}
#' turns it off.
#' @param note logical; if \code{FALSE}, the note at the bottom about splits and/or lines or error bars is turned off.
#' @param font named numeric vector: \code{c(title,sud,leg,leg.title,note)}. Sets the font of the title, su display, legend
#' levels and title, and note. In addition, \code{font.lab} sets the x and y label font, \code{font.sub} sets the font of
#' the little title in each panel, \code{font.axis} sets the axis label font, and \code{font.main} sets the between level/n
#' heading font; these are passed to \code{\link[graphics]{par}}. See the input section.
#' @param cex named numeric vector: \code{c(title,sud,leg,note,points)}. Sets the font size of the title, su display, legend,
#' note, and points. In addition, \code{cex.lab} sets the x and y label size, \code{cex.sub} sets the size of the little
#' title in each panel, \code{cex.axis} sets the axis label size, and \code{cex.main} sets the between level/n heading size;
#' these are passed to \code{\link[graphics]{par}}. See the input section.
#' @param sud affects the heading for subset and covariates/line adjustments (su display); text replaces it, and
#' \code{FALSE} turns it off.
#' @param ndisp logical; if \code{FALSE}, n per level is no longer displayed in the subheadings.
#' @param labels logical; if \code{FALSE}, sets all settable text surrounding the plot to \code{FALSE} (just so you don't
#' have to set all of them if you want a clean frame).
#' @param labels.filter a regular expression string to be replaced in label texts with a blank space. Default is
#' \code{'_'}, so underscores appearing in the text of labels are replace with blank spaces. Set to
#' \code{FALSE} to prevent all filtering.
#' @param labels.trim numeric or logical; the maximum length of label texts (in number of characters). Default is 20, with
#' any longer labels being trimmed. Set to \code{FALSE} to prevent any trimming.
#' @param points logical; if \code{FALSE}, the points in a scatter plot are no longer drawn.
#' @param points.first logical; if \code{FALSE}, points are plotted after lines are drawn in a scatter plot, placing lines
#' behind points. This does not apply to points or lines added in \code{add}, as that is always evaluated after the main
#' points and lines are drawn.
#' @param byx logical; if \code{TRUE} (default) and \code{by} is specified, regressions for bar or line plots compare
#' levels of \code{by} for each level of \code{x}. This makes for more intuitive error bars when comparing levels of
#' \code{by} within a level of \code{x}; otherwise, the model is comparing the difference between the first level of
#' \code{x} and each of its other levels.
#' @param drop named logical vector: \code{c(x,by,bet)}. Specifies how levels with no data should be treated. All are
#' \code{TRUE} by default, meaning only levels with data will be presented, and the layout of \code{between} levels
#' will be minimized. \code{x} only applies to bar or line plots. \code{by} relates to levels presented in the legend.
#' If \code{bet} is \code{FALSE}, the layout of \code{between} variables will be strict, with levels of \code{between[1]}
#' as rows, and levels of \code{between[2]} as columns -- if there are no data at an intersection of levels, the
#' corresponding panel will be blank. See the input section.
#' @param prat panel ratio, referring to the ratio between plot frames and the legend frame when the legend is out. A
#' single number will make all panels of equal width. A vector of two numbers will adjust the ratio between plot panels
#' and the legend panel. For example, \code{prat=c(3,1)} makes all plot panels a relative width of 3, and the legend frame
#' a relative width of 1.
#' @param check.height logical; if \code{FALSE}, the height of the plot frame will not be checked before plotting is
#' attempted. The check tries to avoid later errors, but may prevent plotting when a plot is possible.
#' @param model logical; if \code{TRUE}, the summary of an interaction model will be printed. This model won't always align
#' with what is plotted since variables may be treated differently, particularly in the case of interactions.
#' @param options a list with named arguments, useful for setting temporary defaults if you plan on using some of the same
#' options for multiple plots (e.g., \code{opt = list(}\code{type = 'bar',} \code{colors = 'grey',}
#' \code{bg = '#999999');} \code{splot(x ~ y,} \code{options = opt)}).
#' use \code{\link{quote}} to include options that are to be evaluated within the function (e.g.,
#' \code{opt =} \code{list(su =} \code{quote(y > 0))}).
#' @param add evaluated within the function, so you can refer to the objects that are returned, to variable names (those
#' from an entered data frame or entered as arguments), or entered data by their position, preceded by '.' (e.g.,
#' \code{mod =} \code{lm(.y~.x)}). Useful for adding things like lines to a plot while the parameters are still
#' those set by the function (e.g., \code{add =} \code{abline(v =} \code{mean(x),} \code{xpd = FALSE)} for a vertical
#' line at the mean of x).
#'
#' @return A list containing data and settings is invisibly returned, which might be useful to check for errors.
#' Each of these objects can also be pulled from within \code{add}:
#' \tabular{ll}{
#' \code{dat} \tab a \code{data.frame} of processed, unsegmented data.\cr
#' \code{cdat} \tab a \code{list} of \code{list}s of \code{data.frame}s of processed, segmented data.\cr
#' \code{txt} \tab a \code{list} of variable names. used mostly to pull variables from \code{data} or the environment.\cr
#' \code{ptxt} \tab a \code{list} of processed variable and level names. Used mostly for labeling.\cr
#' \code{seg} \tab a \code{list} containing segmentation information (such as levels) for each variable.\cr
#' \code{ck} \tab a \code{list} of settings.\cr
#' \code{lega} \tab a \code{list} of arguments that were or would have been passed to \code{\link[graphics]{legend}}.\cr
#' \code{fmod} \tab an \code{lm} object if \code{model} is \code{TRUE}, and the model succeeded.
#' }
#'
#' @section Input:
#' \strong{formulas}
#'
#' When \code{y} is a formula (has a \code{~}), other variables will be pulled from it:
#'
#' \code{y ~ x * by * between[1] * between[2] + cov[1] + cov[2] + cov[n]}
#'
#' If \code{y} has multiple variables, \code{by} is used to identify the variable (it becomes a factor with variable names
#' as levels), so anything entered as \code{by} is treated as \code{between[1]}, \code{between[1]} is moved to
#' \code{between[2]}, and \code{between[2]} is discarded with a message.
#'
#' \strong{named vectors}
#'
#' Named vector arguments like \code{font}, \code{cex}, and \code{drop} can be set with a single value, positionally, or
#' with names. If a single value is entered (e.g., \code{drop = FALSE}), this will be applied to each level (i.e.,
#' \code{c(x = FALSE, by = FALSE, bet = FALSE)}). If more than one value is entered, these will be treated positionally
#' (e.g., \code{cex =} \code{c(2, 1.2)} would be read as \code{c(title = 2, sud = 1.2, leg = .9, note = .7, points = 1)}).
#' If values are named, only named values will be set, with other defaults retained (e.g., \code{cex =} \code{c(note = 1.2)}
#' would be read as \code{c(title = 1.5, sud = .9, leg = .9, note = 1.2, points = 1)}).
#'
#' @note
#' \strong{x-axis levels text}
#'
#' If the text of x-axis levels (those corresponding to the levels of \code{x}) are too long, they are hidden before
#' overlapping. To try and avoid this, by default longer texts are trimmed (dictated by \code{labels.trim}), and at some
#' point the orientation of level text is changed (settable with \code{xlas}), but you may still see level text missing.
#' To make these visible, you can reduce \code{labels.trim} from the default of 20 (or rename the levels of that variable),
#' make the level text vertical (\code{xlas = 3}), or expand your plot window if possible.
#'
#' \strong{missing levels, lines, and/or error bars}
#'
#' By default (if \code{drop = TRUE}), levels of \code{x} with no data are dropped, so you may not see every level of your
#' variable, at all or at a level of \code{by} or \code{between}. Sometimes error bars cannot be estimated (if, say, there
#' is only one observation at the given level), but lines are still drawn in these cases, so you may sometimes see levels
#' without error bars even when error bars are turned on. Sometimes (particularly when \code{drop['x']} is \code{FALSE}),
#' you might see floating error bars with no lines drawn to them, or what appear to be completely empty levels. This
#' happens when there is a missing level of \code{x} between two non-missing levels, potentially making an orphaned level
#' (if a non-missing level is surrounded by missing levels). If there are no error bars for this orphaned level, by default
#' nothing will be drawn to indicate it. If you set \code{line.type} to \code{'b'} (or any other type with points), a point
#' will be drawn at such error-bar-less, orphaned levels.
#'
#' \strong{unexpected failures}
#'
#' splot tries to clean up after itself in the case of an error, but you may still run into errors that break things before
#' this can happen. If after a failed plot you find that you're unable to make any new plots, or new plots are drawn over
#' old ones, you might try entering \code{dev.off()} into the console. If new plots look off (splot's
#' \code{\link[graphics]{par}} settings didn't get reset), you may have to close the plot window to reset
#' \code{\link[graphics]{par}} (if you're using RStudio, Plots > "Remove Plot..." or "Clear All..."), or restart R.
#'
#' @examples
#' # simulating data
#' n <- 2000
#' dat <- data.frame(sapply(c("by", "bet1", "bet2"), function(c) sample(0:1, n, TRUE)))
#' dat$x <- with(
#' dat,
#' rnorm(n) + by * -.4 + by * bet1 * -.3 + by * bet2 *
#' .3 + bet1 * bet2 * .9 - .8 + rnorm(n, 0, by)
#' )
#' dat$y <- with(
#' dat,
#' x * .2 + by * .3 + bet2 * -.6 + bet1 * bet2 * .8 + x *
#' by * bet1 * -.5 + x * by * bet1 * bet2 * -.5
#' + rnorm(n, 5) + rnorm(n, -1, .1 * x^2)
#' )
#'
#' # looking at the distribution of y between bets split by by
#' splot(y, by = by, between = c(bet1, bet2), data = dat)
#'
#' # looking at quantile splits of y in y by x
#' splot(y ~ x * y, dat, split = "quantile")
#'
#' # looking at y by x between bets
#' splot(y ~ x, dat, between = c(bet1, bet2))
#'
#' # sequentially adding levels of split
#' splot(y ~ x * by, dat)
#' splot(y ~ x * by * bet1, dat)
#' splot(y ~ x * by * bet1 * bet2, dat)
#'
#' # same as the last but entered by name
#' splot(y, x = x, by = by, between = c(bet1, bet2), data = dat)
#'
#' # zooming in on one of the windows
#' splot(y ~ x * by, dat, bet1 == 1 & bet2 == 0)
#'
#' # comparing an adjusted lm prediction line with a loess line
#' # this could also be entered as y ~ poly(x,3)
#' splot(y ~ x + x^2 + x^3, dat, bet1 == 1 & bet2 == 0 & by == 1, add = {
#' lines(x[order(x)], loess(y ~ x)$fitted[order(x)], lty = 2)
#' legend("topright", c("lm", "loess"), lty = c(1, 2), lwd = c(2, 1), bty = "n")
#' })
#'
#' # looking at different versions of x added to y
#' splot(cbind(
#' Raw = y + x,
#' Sine = y + sin(x),
#' Cosine = y + cos(x),
#' Tangent = y + tan(x)
#' ) ~ x, dat, myl = c(-10, 15), lines = "loess", laby = "y + versions of x")
#'
#' @export
#' @importFrom grDevices grey dev.copy dev.size dev.off cairo_pdf adjustcolor colors col2rgb
#' @importFrom graphics axis axTicks hist legend lines text mtext plot barplot par points arrows strwidth layout plot.new
#' locator strheight polygon abline
#' @importFrom stats density median quantile sd lm glm confint update loess smooth.spline formula as.formula predict
#' var binomial
splot <- function(
y, data = NULL, su = NULL, type = "", split = "median", levels = list(), sort = NULL,
error = "standard", error.color = "#585858", error.lwd = 2, lim = 9, lines = TRUE, ...,
colors = "pastel", colorby = NULL, colorby.leg = TRUE, color.lock = FALSE, color.offset = 1.1,
color.summary = "mean", opacity = 1, dark = getOption("splot.dark", FALSE), x = NULL,
by = NULL, between = NULL, cov = NULL, line.type = "l", mv.scale = "none", mv.as.x = FALSE,
save = FALSE, format = cairo_pdf, dims = dev.size(), file.name = "splot", myl = NULL,
mxl = NULL, autori = TRUE, xlas = 0, ylas = 1, xaxis = TRUE, yaxis = TRUE, breaks = "sturges",
density.fill = TRUE, density.opacity = .4, density.args = list(), leg = "outside",
lpos = "auto", lvn = TRUE, leg.title = TRUE, leg.args = list(), title = TRUE, labx = TRUE,
laby = TRUE, lty = TRUE, lwd = 2, sub = TRUE, ndisp = TRUE, note = TRUE,
font = c(title = 2, sud = 1, leg = 1, leg.title = 2, note = 3),
cex = c(title = 1.5, sud = .9, leg = .9, note = .7, points = 1), sud = TRUE, labels = TRUE,
labels.filter = "_", labels.trim = 20, points = TRUE, points.first = TRUE, byx = TRUE,
drop = c(x = TRUE, by = TRUE, bet = TRUE), prat = c(1, 1), check.height = TRUE, model = FALSE,
options = NULL, add = NULL) {
# parsing input and preparing data
if (check.height && dev.size()[2] < 1.7) {
stop("the plot window seems too short; increase the height of the plot window, or set check.height to FALSE",
call. = FALSE
)
}
if (!missing(options) && is.list(options) && length(options) != 0) {
a <- as.list(match.call())[-1]
options <- tryCatch(options, error = function(e) NULL)
if (is.null(options)) stop("could not find options")
return(do.call(splot, c(a[names(a) != "options"], options[!names(options) %in% names(a)]), envir = parent.frame()))
}
if (!labels) title <- sud <- sub <- labx <- laby <- note <- FALSE
opt_saf <- getOption("stringsAsFactors")
on.exit(options(stringsAsFactors = opt_saf))
options(stringsAsFactors = FALSE)
ck <- list(
ff = list(bet = FALSE, cov = FALSE),
t = if (grepl("^b|^l", type, TRUE)) 1 else if (grepl("^d", type, TRUE)) 2 else 3,
b = grepl("^b", type, TRUE),
tt = !missing(type) && !grepl("^b|^l", type, TRUE),
d = !missing(data) && !is.null(data),
su = !missing(su),
c = !missing(cov),
co = missing(colors),
cb = !missing(colorby),
cblegm = missing(colorby.leg),
cbleg = is.logical(colorby.leg) && colorby.leg,
poly = missing(density.fill) || (!is.logical(density.fill) || density.fill),
polyo = !missing(density.fill) || !missing(density.opacity),
e = grepl("^s", error, TRUE),
el = !(is.logical(error) && !error),
sp = if (!is.character(split)) {
4
} else if (grepl("^mea|^av", split, TRUE)) {
1
} else if (grepl("^q", split, TRUE)) {
2
} else {
ifelse(grepl("^s", split, TRUE), 3, 4)
},
ly = !(is.logical(laby) && !laby) || is.character(laby),
lys = is.character(laby),
lx = !(is.logical(labx) && !labx) || is.character(labx),
line = substitute(lines),
lty = is.logical(lty),
ltym = missing(lty),
ltm = missing(line.type),
leg = if (is.logical(leg) && !leg) 0 else if (!is.character(leg) || grepl("^o", leg, TRUE)) 1 else 2,
legm = missing(leg),
legt = !(is.logical(leg.title) && !leg.title),
lp = is.character(lpos) && grepl("^a", lpos, TRUE),
lpm = is.character(lpos) && grepl("^p|^m", lpos, TRUE),
mod = !missing(x) && model,
note = !is.character(note),
mv = FALSE,
mlvn = missing(lvn),
opacity = !missing(opacity) && opacity <= 1 && opacity > 0,
mai = FALSE
)
if (ck$lpm) lpos <- "center"
if (ck$d && !is.data.frame(data)) {
data <- if (!is.matrix(data) && !is.list(data)) {
as.data.frame(as.matrix(data))
} else {
as.data.frame(data)
}
}
ck$ltck <- (is.logical(ck$line) && ck$line) || !grepl("^F", ck$line)
if (!ck$ltck && ck$note) note <- FALSE
ck$ltco <- if (ck$ltck) if (is.logical(ck$line) || ck$c || grepl("^li|^lm|^st", ck$line, TRUE)) "li" else if (grepl("^loe|^po|^cu", ck$line, TRUE)) "lo" else if (grepl("^sm|^sp|^in", ck$line, TRUE)) "sm" else if (grepl("^e|^co|^d", ck$line, TRUE)) "e" else if (grepl("^pr|^log", ck$line, TRUE)) "pr" else "li" else "li"
if (any(!missing(font), !missing(cex), !missing(drop))) {
dop <- formals(splot)[c("font", "cex", "drop")]
oco <- function(s, d) {
od <- d <- eval(d)
if (length(s) != length(d)) {
n <- NULL
if (!is.null(n <- names(s)) || length(s) != 1) if (!is.null(n)) d[n] <- s[n] else d[seq_along(s)] <- s else d[] <- s
s <- d
}
s <- s[names(od)]
names(s) <- names(od)
if (any(n <- is.na(s))) s[n] <- od[n]
s
}
if (!missing(font)) font <- oco(font, dop$font)
if (!missing(cex)) cex <- oco(cex, dop$cex)
if (!missing(drop)) drop <- oco(drop, dop$drop)
}
dn <- if (ck$d) names(data) else ""
if (any(grepl("~", c(substitute(y), if (paste(deparse(substitute(y)), collapse = "") %in% ls(envir = globalenv())) y), fixed = TRUE))) {
f <- as.character(as.formula(y))[-1]
y <- as.formula(y)[[2]]
bl <- function(x) {
cs <- strsplit(x, "")[[1]]
rs <- lapply(c("(", ")", "[", "]"), grep, cs, fixed = TRUE)
l <- vapply(rs, length, 0)
cr <- TRUE
if (any(l != 0)) {
if (l[1] != l[2] || l[3] != l[4]) stop("invalid parentheses or brackets in ", x)
cr <- !seq_along(cs) %in% c(
unlist(lapply(seq_len(l[1]), function(r) do.call(seq, lapply(rs[1:2], "[[", r)))),
unlist(lapply(seq_len(l[3]), function(r) do.call(seq, lapply(rs[3:4], "[[", r))))
)
}
cs[cr] <- sub("*", "_VAR_", sub("+", "_COV_", cs[cr], fixed = TRUE), fixed = TRUE)
paste(cs, collapse = "")
}
f <- strsplit(bl(f[-1]), " _COV_ ", fixed = TRUE)[[1]]
if (any(grepl(" _VAR_ ", f, fixed = TRUE))) {
r <- strsplit(f[1], " _VAR_ ", fixed = TRUE)[[1]]
if (length(r)) x <- r[1]
if (length(r) > 1) by <- r[2]
if (length(r) > 2) {
ck$ff$bet <- TRUE
between <- r[3]
}
if (length(r) > 3) between <- c(r[3], r[4])
f <- f[!grepl(" _VAR_ ", f, fixed = TRUE)]
} else {
x <- f[1]
f <- f[-1]
}
if (length(f)) {
cov <- f
ck$c <- ck$ff$cov <- TRUE
}
}
txt <- list(
split = "none",
y = substitute(y),
x = substitute(x),
by = substitute(by),
bet = as.list(substitute(between)),
cov = as.list(substitute(cov)),
su = deparse(substitute(su))
)
txt[c("bet", "cov")] <- lapply(c("bet", "cov"), function(l) {
paste(if (!ck$ff[[l]] && length(txt[[l]]) > 1) txt[[l]][-1] else txt[[l]])
})
txt <- lapply(txt, function(e) if (is.call(e)) paste(deparse(e), collapse = "\n") else e)
if (length(txt$bet) > 2) txt$bet <- txt$bet[1:2]
tdc <- function(x, l = NULL) {
if (!is.call(x)) {
if ((is.null(l) && length(x) != 1) || (!is.null(l) && length(x) == l)) {
return(x)
}
}
if (is.character(x)) x <- parse(text = x)
tx <- tryCatch(eval(x, data, parent.frame(2)), error = function(e) NULL)
if (is.character(tx) && length(tx) < 2) {
x <- parse(text = tx)
tx <- tryCatch(eval(x, data, parent.frame(2)), error = function(e) NULL)
} else if (is.null(tx)) tx <- tryCatch(eval(x, data, parent.frame(3)), error = function(e) NULL)
if (is.null(tx) || any(class(tx) %in% c("name", "call", "expression", "function"))) stop("could not find ", x, call. = FALSE)
if (!is.null(l) && is.null(ncol(tx))) {
if (length(tx) != l) {
tx <- rep_len(tx, l)
if (is.call(x)) x <- deparse(x)
warning(x, " is not the same length as y", call. = FALSE)
}
}
if (!is.null(dim(tx)) && !is.matrix(tx) && !is.data.frame(tx)) tx <- as.matrix(tx)
tx
}
if (!missing(data) && !any(class(data) %in% c("matrix", "data.frame"))) {
data <- if (is.character(data)) eval(parse(text = data)) else eval(data, globalenv())
}
dat <- data.frame(y = tdc(txt$y), check.names = FALSE)
if (ncol(dat) == 1) names(dat) <- "y"
nr <- nrow(dat)
lvs <- function(x, s = FALSE) if (is.factor(x)) base::levels(x) else if (s) sort(unique(x[!is.na(x)])) else unique(x[!is.na(x)])
for (n in names(txt)[-c(1, 2, 7)]) {
l <- length(txt[[n]])
if (l == 0) next
if (l == nr) {
dat[, n] <- txt[[n]]
txt[[n]] <- n
} else if (l == 1) dat[, n] <- tdc(txt[[n]], nr) else for (i in seq_along(txt[[n]])) dat[, paste0(n, ".", i)] <- tdc(txt[[n]][[i]], nr)
}
if (length(txt$y) == nr) txt$y <- "y"
if (missing(x) && !is.null(dat$y) && !is.numeric(dat$y)) {
dat$x <- dat$y
sl <- grepl("^(y|by|bet[.12]{,2})$", colnames(dat))
dat$y <- if (sum(sl) == 1) dat[, sl] else do.call(paste, dat[, sl])
dat$y <- table(dat$y)[dat$y]
if (sum(sl) != 1) dat <- dat[, c("y", "x", colnames(dat)[!colnames(dat) %in% c("y", "x")])]
if (ck$t != 2) txt[c("y", "x")] <- c("count", txt$y)
ck$el <- FALSE
if (missing(type)) {
ck$b <- TRUE
ck$t <- 1
ck[c("b", "t", "tt")] <- list(TRUE, 1, FALSE)
}
if (missing(autori)) autori <- FALSE
}
if (NCOL(dat$x) > 1) {
ck$c <- TRUE
txt$cov <- c(txt$x, txt$cov)
dat$cov <- cbind(dat$cov, dat$x[, -1])
dat$x <- dat$x[, 1]
}
ck$orn <- nr
su <- substitute(su)
if (ck$su && length(su) != nr) {
tsu <- tryCatch(eval(su, if (ck$d) data), error = function(e) NULL)
if (is.null(tsu) || length(tsu) != nr) {
odat <- dat
colnames(odat) <- sub("^y\\.", "", colnames(dat))
tsu <- tryCatch(eval(su, odat), error = function(e) NULL)
}
if (!is.null(tsu)) {
tsu[is.na(tsu)] <- FALSE
su <- tsu
}
if (is.logical(tsu) && sum(tsu) == 0 || length(tsu) == 0) {
ck$su <- FALSE
warning("su excludes all rows, so it was ignored.", .call = FALSE)
}
}
tsu <- vapply(dat, is.numeric, TRUE)
ck$omitted <- list(
na = apply(dat, 1, function(r) any(is.na(r))),
inf = apply(dat[, tsu, drop = FALSE], 1, function(r) any(is.infinite(r)))
)
if (ck$su) ck$omitted$su <- !su
ck$omitted$all <- !Reduce("|", ck$omitted)
if (any(!ck$omitted$all)) {
if (any(ck$omitted$all)) {
odat <- dat[ck$omitted$all, , drop = FALSE]
dat <- odat
dn <- colnames(dat)
if ("x" %in% dn && length(unique(dat$x)) == 1) {
ck$t <- 2
dat$x <- NULL
warning("after omitting, x only had 1 level, so it was dropped")
}
if ("by" %in% dn && length(unique(dat$by)) == 1) {
txt$by <- dat$by <- NULL
warning("after omitting, by only had 1 level, so it was dropped")
}
if (ck$d) data <- data[ck$omitted$all, , drop = FALSE]
} else {
stop("this combination of variables/splits has no complete cases")
}
}
dn <- colnames(dat)
nr <- nrow(dat)
if (sum(grepl("^y", dn)) > 1) {
# setting up multiple y variables
dn <- grep("^y\\.", dn)
ck$mvn <- colnames(dat)[dn]
ck$mvnl <- length(ck$mvn)
if (any(tcn <- grepl("(V\\d+$|c\\(|y\\.(\\d+$|.*\\.))", ck$mvn))) {
ncn <- substitute(y)
if (length(ncn) > 1 && length(ncn <- as.character(ncn[-1])) == length(dn)) {
ck$mvn[tcn] <- paste0("y.", ncn[tcn])
}
}
ck$mv <- TRUE
if (ck$mlvn) lvn <- FALSE
if (!missing(by)) {
txt$bet <- c(txt$by, txt$bet)
if (length(txt$bet) > 2) {
warning("multiple y variables moves by to between, so the second level of between was dropped")
txt$bet <- txt$bet[1:2]
dat <- dat[-grep("bet", colnames(dat))[2]]
}
if (length(txt$bet) > 1) {
dat$bet.1 <- if (is.factor(dat$by)) dat$by else as.character(dat$by)
dat$bet.2 <- if (is.factor(dat$bet)) dat$bet else as.character(dat$bet)
dat$bet <- NULL
} else {
dat$bet <- if (is.factor(dat$by)) dat$by else as.character(dat$by)
}
}
td <- dat
if (any(ckn <- duplicated(ck$mvn))) ck$mvn[ckn] <- paste0(ck$mvn[ckn], "_", seq_len(sum(ckn)))
by <- sub("^y\\.", "", ck$mvn)
if (any(by == "")) by[by == ""] <- seq_len(sum(by == ""))
by <- factor(rep(by, each = nr), levels = by)
cncls <- vapply(dat[, dn], function(v) is.numeric(v) || is.integer(v) || is.factor(v), TRUE)
if (any(cncls) && any(!cncls)) {
for (cnc in which(!cncls)) {
dat[, cnc] <- as.numeric(factor(dat[, cnc], lvs(dat[, cnc])))
}
}
dat <- data.frame(y = unlist(dat[, dn], use.names = FALSE))
if (ncol(td) > length(dn)) dat <- cbind(dat, do.call(rbind, lapply(seq_along(dn), function(i) td[, -dn, drop = FALSE])))
if (mv.as.x) {
txt$by <- txt$x
txt$x <- if (missing(labx)) "variable" else if (labx == txt$by) paste0(labx, ".1") else labx
dat$by <- dat$x
dat$x <- by
} else {
txt$by <- "variable"
dat$by <- by
}
if (missing(leg.title) && !mv.as.x) ck$legt <- FALSE
if (!missing(levels) && "mv" %in% names(levels)) names(levels)[names(levels) == "mv"] <- txt[[if (mv.as.x) "x" else "by"]]
dn <- colnames(dat)
if (!missing(mv.scale) && mv.scale != "none") {
tv <- if (mv.as.x) dat$x else dat$by
for (g in levels(as.factor(tv))) {
svar <- tv == g
cvar <- scale(dat[svar, 1], scale = grepl("^t|z|sc", mv.scale, TRUE))
if (any(is.na(cvar))) cvar <- dat[svar, 1] - mean(dat[svar, 1], na.rm = TRUE)
dat[svar, 1] <- cvar
}
}
nr <- nrow(dat)
} else {
ck$mv <- FALSE
}
if (!"x" %in% dn) {
ck$t <- 2
if (!missing(type) && !grepl("^d", type, TRUE)) warning("x must be included to show other types of splots")
}
if (!ck$cb && !"by" %in% dn) ck$leg <- 0
if (lim > 20 || (is.logical(lim) && !lim)) {
lim <- Inf
if (ck$legm && !ck$cb) ck$leg <- 0
if (missing(error)) ck$el <- FALSE
}
if (ck$ltm && !ck$el) line.type <- "b"
if (ck$ltym && is.logical(lines) && !lines) {
ck$lty <- FALSE
lty <- 1
}
if (!is.numeric(dat$y)) {
txt$yax <- lvs(dat$y)
if (!is.logical(dat$y) && !is.factor(dat$y)) dat$y <- factor(dat$y, lvs(dat$y))
dat$y <- as.numeric(dat$y)
}
if ("by" %in% dn && is.character(dat$by) && all(!grepl("[^0-9]", dat$by))) {
dat$by <- gsub(" ", "0", base::format(dat$by, justify = "right"), fixed = TRUE)
}
odat <- dat
# splitting and parsing variables
splt_type <- function(x, s) {
if (s == 1) {
"mean"
} else if (s == 3) {
"standard deviation"
} else if (s == 2) {
"quantile"
} else if (s == 4 && is.double(split) && (length(split) != 1 || all(c(
sum(split >= x, na.rm = TRUE),
sum(split <= x, na.rm = TRUE)
) > 1))) {
paste(split, collapse = ", ")
} else if (s == 4 && is.numeric(split) && split > 1) {
split <- min(length(x), round(split), na.rm = TRUE)
paste0("segments (", split, ")")
} else {
"median"
}
}
splt <- function(x, s) {
if (s == 1) {
factor(x >= mean(x, na.rm = TRUE) * 1, labels = c("Below Average", "Above Average"))
} else if (s == 3) {
m <- mean(x, na.rm = TRUE)
s <- sd(x, TRUE)
cut(x, c(-Inf, m - s, m + s, Inf), labels = c("-1 SD", "Mean", "+1 SD"))
} else if (s == 2) {
cut(x, c(-Inf, quantile(x, na.rm = TRUE)[c(2, 4)], Inf),
labels = c("2nd Quantile", "Median", "4th Quantile")
)
} else if (s == 4 && is.double(split) && (length(split) != 1 || all(c(
sum(split >= x, na.rm = TRUE),
sum(split <= x, na.rm = TRUE)
) > 1))) {
cut(x, c(-Inf, split, Inf), paste0("<=", c(split, "Inf")), ordered_result = TRUE)
} else if (s == 4 && is.numeric(split) && split > 1) {
n <- length(x)
split <- min(n, round(split), na.rm = TRUE)
factor(paste("seg", rep(seq_len(split), each = round(n / split + .49))[order(order(x))]))
} else {
factor(x >= median(x, TRUE) * 1, labels = c("Under Median", "Over Median"))
}
}
seg <- list(
x = list(e = !missing(x), s = FALSE, i = 2),
f1 = list(e = FALSE, s = FALSE, l = "", ll = 1),
f2 = list(e = FALSE, s = FALSE, l = "", ll = 1),
by = list(e = FALSE, s = FALSE, l = "", ll = 1)
)
if (seg$x$e && ck$t != 2) {
if ((ck$t == 1 || is.character(dat$x) || is.factor(dat$x) ||
(missing(type) && length(unique(dat$x)) < lim))) {
dat$x <- if (!is.character(dat$x) && !is.factor(dat$x) && length(unique(dat$x)) > lim) {
seg$x$s <- TRUE
if (missing(type)) ck$t <- 1
txt$split <- splt_type(dat$x, ck$sp)
splt(dat$x, ck$sp)
} else {
if (missing(type)) ck$t <- 1
as.factor(dat$x)
}
}
}
if (ck$t == 1 || (is.character(dat$x) || is.factor(dat$x))) {
seg$x$l <- lvs(dat$x)
if (length(seg$x$l) == 1) ck$t <- 3
}
svar <- NULL
cvar <- if (any(grepl("^c", dn))) which(grepl("^c", dn)) else NULL
if (any(grepl("^b", dn))) {
svar <- which(grepl("^b", dn))
for (i in svar) {
e <- if (grepl("bet", dn[i])) if (!seg$f1$e) "f1" else "f2" else "by"
seg[[e]]$e <- TRUE
seg[[e]]$i <- i
seg[[e]]$l <- lvs(dat[, i])
if (is.factor(dat[, i]) && drop[[dn[i]]]) {
seg[[e]]$l <- seg[[e]]$l[seg[[e]]$l %in% dat[, i]]
}
seg[[e]]$ll <- length(seg[[e]]$l)
if (seg[[e]]$ll > lim && !(is.character(dat[, i]) || is.factor(dat[, i]))) {
txt$split <- splt_type(dat[, i], ck$sp)
dat[, i] <- splt(dat[, i], ck$sp)
seg[[e]]$s <- TRUE
seg[[e]]$l <- lvs(dat[, i])
seg[[e]]$ll <- length(seg[[e]]$l)
}
if (!is.factor(dat[, i])) {
dat[, i] <- if (is.character(dat[, i])) {
factor(dat[, i], lvs(dat[, i]))
} else {
as.factor(dat[, i])
}
}
}
}
if (seg$by$l[1] == "") seg$by$l <- "NA"
fmod <- NULL
vs <- c(y = txt$y, x = txt$x, by = txt$by, bet = txt$bet, cov = txt$cov)
colnames(odat) <- vs
if (ck$t != 2 && model) {
tryCatch(
{
mod <- formula(paste(
vs["y"], "~", vs["x"],
if (seg$by$e) paste0("*", vs["by"]),
if (seg$f1$e) paste0("*", vs[grep("^bet", names(vs))[1]]),
if (seg$f2$e) paste0("*", vs["bet2"]),
if (length(cvar)) paste0("+", paste0(vs["cov"], collapse = "+"))
))
fmod <- lm(mod, odat)
if (model) {
s <- summary(fmod)
s$call <- mod
print(s)
}
},
error = function(e) warning(paste("summary model failed:", e$message), call. = FALSE)
)
}
if (!missing(levels)) {
tryCatch(
{
lc <- c("y", "x", "by", "f1", "f2")
ns <- c(txt$y, txt$x, txt$by, txt$bet, lc)
lc <- c(lc[seq_len(length(ns) - length(lc))], lc)
for (n in names(levels)) {
if (any(cns <- ns %in% n)) {
sl <- lc[cns <- which(cns)[1]]
if (sl == "y") {
sl <- list(i = 1)
vfac <- txt$yax
dat$y <- factor(dat$y, labels = vfac)
} else {
sl <- seg[[sl]]
vfac <- lvs(dat[, sl$i])
}
vl <- length(vfac)
ln <- levels[[n]]
lo <- NULL
if (is.list(ln)) {
if (length(ln) > 1) lo <- levels[[n]][[2]]
ln <- ln[[1]]
}
if (is.numeric(ln)) ln <- vfac[ln]
if (vl == length(ln)) {
vl <- list(dat[, sl$i])
if (all(ln %in% vfac)) {
vl$levels <- ln
} else {
if (!is.null(lo)) {
vl$labels <- ln[lo]
vl$levels <- vfac[lo]
} else {
vl$labels <- ln
}
}
dat[, sl$i] <- do.call(factor, vl)
if ("l" %in% names(sl)) seg[[lc[cns]]]$l <- levels(dat[, sl$i])
} else {
warning(n, " has ", vl, " levels but you provided ", length(ln), call. = FALSE)
}
if (sl$i == 1) {
txt$yax <- lvs(dat$y)
dat$y <- as.numeric(dat$y)
}
}
}
},
error = function(e) warning("setting levels failed: ", e$message, call. = FALSE)
)
}
dsf <- list(c1 = "", sep = rep.int("^^", nr), c2 = "")
if (seg$f1$e) dsf$c1 <- dat[, seg$f1$i]
if (seg$f2$e) dsf$c2 <- dat[, seg$f2$i]
cdat <- split(dat, dsf)
if (seg$by$e) {
cdat <- lapply(cdat, function(s) {
if (length(unique(s$by)) > 1) {
split(s, factor(as.character(s$by), lvs(s$by)))
} else {
s <- lapply(seg$by$l, function(l) if (sum(s$by == l)) s else NULL)
names(s) <- seg$by$l
s
}
})
if (all((seg$n <- vapply(cdat, length, 0)) == seg$by$ll)) {
seg$n <- vapply(cdat, function(s) vapply(s, NROW, 0), numeric(seg$by$ll))
} else {
drop["by"] <- FALSE
}
} else {
seg$n <- vapply(cdat, nrow, 0)
}
if (seg$by$e && ck$t != 3 && drop["by"]) {
seg$by$l <- if (is.null(rownames(seg$n))) {
structure(seg$n > 1, names = seg$by$l)
} else {
vapply(rownames(seg$n), function(r) any(seg$n[r, ] > 1), TRUE)
}
if (!any(seg$by$l)) {
if (ck$t == 2) stop("no level of by has more than 1 observation")
warning("no level of by has more than 1 observation so it was treated as colorby", call. = FALSE)
seg$by$e <- FALSE
seg$by$l <- ""
seg$by$ll <- 1
if (ck$cb) {
colorby <- substitute(colorby)
colorby[[2]] <- dat$by
} else {
colorby <- dat$by
}
ck$cb <- TRUE
dat <- dat[, -seg$by$i]
cdat <- split(dat, dsf)
seg$n <- vapply(cdat, nrow, 0)
} else {
seg$by$l <- names(seg$by$l[seg$by$l])
seg$by$ll <- length(seg$by$l)
}
}
if (!is.null(nrow(seg$n))) {
cdat <- cdat[apply(seg$n, 2, function(r) any(r > 1))]
if (nrow(seg$n) > 1) seg$n <- colSums(seg$n[, names(cdat), drop = FALSE])
}
if (ck$mv) seg$n <- seg$n / length(ck$mvn)
seg$ll <- length(seg$n)
if (ck$mlvn && seg$by$e && (seg$by$s || !any(grepl("^[0-9]", seg$by$l)))) lvn <- FALSE
ptxt <- c(txt[-c(1, 7)], l = lapply(seg[1:4], "[[", "l"))
if (missing(labels.trim) && seg$ll == 1 && length(ptxt$l.x) < 2 && (seg$by$ll == 1 || ck$mv)) labels.trim <- 40
if (is.numeric(labels.trim) || is.character(labels.filter)) {
vs <- c("y", "x", "by", "bet", "cov", "l.x", "l.f1", "l.f2", "l.by")
ptxt <- lapply(vs, function(n) {
n <- as.character(ptxt[[n]])
if (length(n) != 0 && all(n != "NULL" & n != "")) {
names(n) <- n
if (is.character(labels.filter)) n <- gsub(labels.filter, " ", n, perl = TRUE)
if (any(is.na(iconv(n)))) stop("labels appear to be misencoded -- check them with the iconv function")
if (is.numeric(labels.trim)) if (any(ln <- nchar(n) > (labels.trim + 3))) n[ln] <- sub("$", "...", strtrim(n[ln], labels.trim))
}
n
})
names(ptxt) <- vs
}
if (is.character(labx)) ptxt$x <- labx else if (ck$t == 2) ptxt$x <- ptxt$y
if (is.character(laby)) ptxt$y <- laby else if (ck$t == 2) ptxt$y <- "Density"
ck$ileg <- seg$by$e && ck$leg > 1
ptxt$leg <- ptxt$l.by
fdat <- dat
names(fdat) <- paste0(".", names(dat))
fdat <- if (!is.null(data)) if (nrow(data) == nr) cbind(data, fdat, odat) else data else cbind(fdat, odat)
# figuring out colors
csf <- if (is.function(color.summary)) {
color.summary
} else if (grepl("^av|mea", color.summary, TRUE)) {
splot.colormean
} else if (grepl("^mode", color.summary, TRUE)) {
function(x) names(which.max(table(x)))
} else {
function(x) lvs(x)[round(median(as.numeric(factor(x, lvs(x)))))]
}
colors <- substitute(colors)
seg$cols <- if (ck$co) colors else if (any(paste(colors) %in% names(fdat))) NULL else tryCatch(tdc(colors), error = function(e) NULL)
if (is.null(seg$cols)) seg$cols <- eval(colors, fdat, parent.frame(1))
ptxt$cbo <- substitute(colorby)
if (length(ptxt$cbo) > 1 && ptxt$cbo[[1]] == "list") ptxt$cbo <- ptxt$cbo[[2]]
if (!is.character(ptxt$cbo)) ptxt$cbo <- deparse(ptxt$cbo)
if (length(seg$cols) == 1) {
if (grepl("^bri|^dar|^pas", seg$cols, TRUE) && (ck$cb || (seg$by$ll > 1 && seg$by$ll < 10))) {
seg$cols <- splot.color(seed = seg$cols)
} else if (ck$co || grepl("^gra|^grey", seg$cols, TRUE)) seg$cols <- splot.color(seg$by$ll, seed = "grey")
}
cl <- length(seg$cols)
seg$lcols <- seg$cols
ck[c("cbn", "cbb")] <- tg <- FALSE
chl <- if (ck$cblegm) FALSE else ck$cbleg
if (ck$cb) {
sca <- names(formals(splot.color))
colorby <- substitute(colorby)
cba <- if (any(paste(colorby) %in% names(fdat))) NULL else tryCatch(tdc(colorby), error = function(e) NULL)
if (is.null(cba)) cba <- eval(substitute(colorby), fdat)
if (is.null(cba) || (is.character(cba) && length(cba) == 1)) cba <- tdc(colorby)
if (!is.list(cba) || is.data.frame(cba)) {
cba <- list(x = cba)
} else if (is.null(names(cba))) {
names(cba) <- names(formals(splot.color))[seq_along(cba)]
} else if (any(names(cba) == "")) {
tn <- names(cba) == ""
names(cba)[tn] <- sca[seq_len(sum(tn))]
}
if (!is.null(ncol(cba$x)) && ncol(cba$x) > 1) {
if (!"by" %in% names(cba)) cba$by <- cba$x[, 2]
cba$x <- cba$x[, 1]
}
cba$flat <- TRUE
cn <- names(cba)
ck$cbb <- "by" %in% cn
if (ck$mv && length(cba$x) * ck$mvnl == nr) {
cba$x <- rep(cba$x, ck$mvnl)
if (ck$cbb) cba$by <- rep(cba$by, ck$mvnl)
}
if (ck$cbb) {
cba$by <- if (is.numeric(cba$by) && length(unique(cba$by)) > lim) {
ptxt$cbos <- if (missing(leg.title)) colorby else leg.title
ptxt$cbos <- if (is.call(ptxt$cbos)) {
deparse(ptxt$cbos[[if (cn[2] == "by" && length(ptxt$cbos) > 2) 3 else 2]])
} else {
deparse(ptxt$cbos)
}
splt(cba$by, ck$sp)
} else {
factor(cba$by, lvs(cba$by))
}
if (seg$by$e && seg$by$ll <= lim && length(cba$by) == nr && !identical(as.character(dat$by), as.character(cba$by))) {
cba$by <- dat$by:cba$by
cbbl <- sub(":.*", "", lvs(cba$by))
colorby[[3]] <- as.name(paste0(ptxt$by, ":", colorby[[3]]))
seg$lcols <- seg$cols <- splot.color(cbbl, seed = seg$cols)
if (!ck$b && ck$line) {
if (length(lty) < seg$by$ll) lty <- seq_len(seg$by$ll)
ck[c("lty", "ltym")] <- FALSE
lty <- rep(lty, table(cbbl))
seg$lty <- unique(lty)
}
} else {
lby <- length(lvs(cba$by))
if (!color.lock && cl < lby) seg$cols <- splot.color(as.list(rep.int(round(lby / cl + .49), cl)), seed = seg$cols)
}
}
if (length(cba$x) == ck$orn) cba$x <- cba$x[ck$omitted$all]
if (ck$cbb && length(cba$by) == ck$orn) cba$by <- cba$by[ck$omitted$all]
if (seg$by$e || !"seed" %in% cn) {
cba$seed <- seg$cols
if ("seed" %in% cn) {
warning("colorby's seed is ignored because by is specified -- use colors to set seeds", call. = FALSE)
}
}
cn <- names(cba)
ckn <- cken <- is.numeric(cba$x)
if ((ck$t == 1 || any(seg$by$e, seg$f1$e)) && length(cba$x) == nr) {
seg$cbxls <- lvs(cba$x)
if (ck$t != 3 && (!seg$by$e || seg$by$ll > lim)) {
cba$x <- vapply(split(cba$x, if (seg$by$e) dat$by else dat$x), function(x) {
if (ckn) {
mean(x, na.rm = TRUE)
} else {
names(which.max(table(x)))
}
}, if (ckn) 0 else "")
if (!ckn || length(seg$cbxls) <= lim) {
cba$x <- if (ckn) {
cba$x <- round(cba$x, 3)
factor(cba$x, sort(unique(cba$x)))
} else {
factor(cba$x, seg$cbxls)
}
ckn <- FALSE
}
if (ck$cbb && length(cba$by) == nr) {
cba$by <- factor(vapply(split(cba$by, if (seg$by$e) dat$by else dat$x), function(x) {
names(which.max(table(x)))
}, ""), lvs(cba$by))
if (length(cba$x) != length(cba$by)) {
cba$by <- NULL
ck$cbb <- FALSE
warning("colorby's by was dropped as it was not the same length as x after being aligned with the formula's x",
call. = FALSE
)
}
}
if (ckn && !ck$b && ck$t == 1 && length(cba$x) == 2) {
cba$x <- c(mean(cba$x), cba$x)
if (ck$cbb) cba$by <- factor(c(lvs(cba$by)[which.max(tabulate(cba$by))], as.character(cba$by)), lvs(cba$by))
}
} else if (!ck$cbb) {
if (ck$t == 3) {
cba$by <- dat$by
} else {
cba$x <- data.frame(cba$x, dat$by)
if (ck$b && seg$ll != 1) cba$x$x <- dat$x
cba$x <- unlist(lapply(split(cba$x, dsf), function(x) {
lapply(
split(x[, 1], x[, -1]), function(x) if (!length(x)) NA else if (ckn) mean(x, na.rm = TRUE) else names(which.max(table(x)))
)
}), TRUE, FALSE)
if (length(cba$x) == seg$by$ll) names(cba$x) <- seg$by$l else seg$ill <- names(cba$x)
if (!ckn) cba$x <- factor(cba$x, seg$cbxls)
cba$by <- factor(rep_len(seg$by$l, length(cba$x)), seg$by$l)
if (ck$cblegm) ck$cbleg <- FALSE
}
}
}
if (ck$cbb) {
if (length(cba$by) == nr && length(cba$x) == seg$by$ll) {
tn <- lapply(split(cba$by, dat$by), unique)
if (all(vapply(tn, length, 0) == 1)) {
cba$by <- unlist(tn, use.names = FALSE)
} else {
cba$by <- NULL
warning("colorby's by was dropped as its levels within levels of by are not unique", call. = FALSE)
}
}
if (ck$cbleg) {
chl <- TRUE
if (missing(leg.title)) {
leg.title <- substitute(colorby)
leg.title <- if (is.call(leg.title) && length(leg.title) > 2) {
deparse(leg.title[[if (cn[2] == "by") 3 else 2]])
} else {
deparse(leg.title)
}
}
ptxt$leg <- lvs(cba$by)
}
} else {
if (ck$cbleg && (ck$t == 1 || !seg$by$e)) {
chl <- TRUE
tg <- ckn
ll <- all(ck$t != 1 || (length(seg$x$l) > 2 || seg$by$ll > 2))
if (ll) {
if (is.call(cba$x)) cba$x <- tdc(cba$x)
ll <- length(unique(cba$x)) > 2
}
if (missing(leg.title) && length(ptxt$cbo) == 1) leg.title <- ptxt$cbo
ptxt$leg <- if (ckn) formatC(c(min(cba$x), if (ll) mean(cba$x), max(cba$x)), 2, format = "f") else lvs(cba$x)
} else if (!seg$by$e) ck$leg <- 0
}
if (!ckn && length(cba$x) > lim && !"shuffle" %in% cn) cba$shuffle <- TRUE
sca <- cn %in% sca
if (any(!sca)) warning(paste0("unused colorby arguments: ", paste(cn[!sca], collapse = ", ")), call. = FALSE)
seg$cols <- do.call(splot.color, cba[sca])
if (!is.null(names(cba$x))) names(seg$cols) <- names(cba$x)
if (!chl || ck$cbb) {
ck$cbn <- TRUE
ptxt$cbn <- paste0("Colored by ", if (ckn || cken) "value of " else "levels of ", ptxt$cbo, ". ")
}
if (seg$by$e && !ck$cbb) {
if (length(seg$cols) == length(ptxt$leg)) {
seg$lcols <- seg$cols
} else if (ckn && ck$cbb) {
seg$lcols <- seg$cols[c(which.min(cba$x), which.max(cba$x))]
}
}
if (chl) {
if (ck$legm && !ck$leg) ck$leg <- 1 + seg$ll > 1
if ((ck$ltym || length(lty) == length(seg$cbxls)) && (!seg$by$e || seg$by$ll > length(ptxt$leg))) {
ck[c("lty", "ltym")] <- FALSE
if (!is.numeric(lty)) lty <- 1
seg$lty <- rep_len(lty, seg$by$ll)
if (!ck$ltym) lty <- seq_along(seg$cbxls)
if (ck$ltym && seg$by$e && !ckn) {
cbl <- cba[[if (ck$cbb) "by" else "x"]]
for (g in seq_along(seg$cbxls)) seg$lty[cbl == seg$cbxls[[g]]] <- lty[[g]]
}
lty <- unique(seg$lty)
}
if (tg) {
l <- length(seg$cols)
seg$lcols <- seg$cols[order(cba$x)[c(1, if (ll) round(mean(seq_len(l))), l)]]
} else if (seg$by$e && length(seg$cols) == seg$by$ll && length(ptxt$leg) == seg$by$ll) seg$lcols <- seg$cols
} else {
ptxt$leg <- if (length(seg$cols) == seg$by$ll && !is.null(names(seg$cols))) names(seg$cols) else seg$by$l
if (length(ptxt$leg) == length(seg$cols)) seg$lcols <- seg$cols else if (all(ptxt$leg %in% names(seg$cols))) seg$lcols <- seg$cols[ptxt$leg] else if (seg$by$e && length(seg$cols) == nr) seg$lcols <- vapply(split(seg$cols, dat$by), csf, "")
}
} else {
if (!color.lock && cl < seg$by$ll) {
seg$cols <-
splot.color(as.list(rep.int(round(seg$by$ll / cl + .49), cl)), seed = seg$cols)
}
if (ck$t != 2 && !any(length(seg$cols) == c(nr, seg$by$ll)) && (!ck$b || seg$by$e)) {
seg$cols <- rep_len(seg$cols, seg$by$ll)
}
}
if (seg$by$e && !all(seg$by$l %in% names(seg$cols))) {
if (length(seg$cols) == seg$by$ll) {
names(seg$cols) <- seg$by$l
if (!ck$cbb && !chl) seg$lcols <- seg$cols
} else if (length(seg$lcols) == seg$by$ll) {
names(seg$lcols) <- seg$by$l
} else if (length(ptxt$leg) == seg$by$ll) {
if (length(seg$lcols) == nr) {
seg$lcols <- split(seg$lcols, dat$by)
} else {
seg$lcols <- rep_len(seg$lcols, seg$by$ll)
if (any(grepl(names(cdat)[1], names(seg$lcols), fixed = TRUE))) {
for (g in names(cdat)) names(seg$lcols) <- sub(paste0(g, "."), "", names(seg$lcols), fixed = TRUE)
if (all(seg$by$l %in% names(seg$lcols))) seg$lcols <- seg$lcols[seg$by$l]
} else {
names(seg$lcols) <- seg$by$l
}
}
}
if (ck$b && length(seg$cols) == nr) {
seg$cols <- unlist(lapply(
split(data.frame(seg$cols, dat$by), dat$x),
function(d) vapply(split(d[, 1], d[, 2], drop = TRUE), csf, "")
), use.names = FALSE)
}
}
if (ck$opacity && (ck$t != 3 || !points)) {
if (is.list(seg$cols)) {
lapply(seg$cols, adjustcolor, opacity)
} else {
seg$cols[] <- adjustcolor(seg$cols, opacity)
}
}
if (lvn && length(ptxt$by)) ptxt$l.by[] <- paste0(paste0(ptxt$by, ": "), ptxt$l.by)
if (length(seg$cols) == nr) {
if (any(seg$by$e && !ck$b, seg$f1$e, seg$f2$e)) {
seg$scols <- split(if (seg$by$e && !ck$b) data.frame(seg$cols, dat$by) else seg$cols, dsf)
if (!ck$b) {
if (seg$by$e) seg$scols <- lapply(seg$scols, function(d) split(d[, 1], d[, 2]))
if (ck$t == 1) {
seg$scols <- lapply(seg$scols, function(bl) {
vapply(bl, function(bll) {
if (length(bll)) csf(bll) else ""
}, "")
})
}
}
}
} else if (seg$ll != 1 && "ill" %in% names(seg)) {
seg$scols <- lapply(names(cdat), function(n) seg$cols[grepl(n, names(seg$cols), fixed = TRUE)])
names(seg$scols) <- names(cdat)
}
if (ck$t == 2 && seg$by$ll > 1 && !all(seg$by$l %in% names(seg$cols))) {
seg$cols <- if (length(seg$lcols) == seg$by$ll) {
seg$lcols
} else if (length(seg$cols) == 1) {
splot.color(seq_len(seg$by$ll), seed = seg$cols)
} else {
rep_len(seg$cols, seg$by$ll)
}
if (is.null(names(seg$cols))) names(seg$cols) <- seg$by$l
}
# figuring out parts of the plot
ylab <- if (ck$ly) ptxt$y else ""
xlab <- if (ck$lx && length(ptxt$x)) ptxt$x else ""
main <- if (is.logical(title) && title) {
paste0(if (ck$t == 2) {
paste("Density of", ptxt$x)
} else {
paste(
ptxt$y,
"by", ptxt$x
)
}, if (seg$by$e && !ck$mv) paste(" at levels of", ptxt$by), if (length(ptxt$bet) != 0) {
paste(
" between",
paste(ptxt$bet, collapse = " & ")
)
})
} else if (is.character(title)) title else ""
if (!is.character(note)) {
if (!is.logical(note) || note) {
ck$er <- ck$t == 1 && ck$el
ck$spm <- txt$split != "none"
if (ck$er && all(vapply(cdat, function(d) {
if (!is.data.frame(d)) all(vapply(d, function(dd) !anyDuplicated(dd$x), TRUE)) else !anyDuplicated(d$x)
}, TRUE))) {
ck[c("el", "er")] <- FALSE
}
if (any(ck$cbn, ck$spm, ck$er, ck$t == 3 && ck$ltck)) {
if (ck$spm) {
tv <- unique(c(
if (seg$x$s) ptxt$x,
if (seg$by$s) ptxt$by,
if (seg$f1$s) ptxt$bet[1],
if (seg$f2$s) ptxt$bet[2],
if ("cbos" %in% names(ptxt)) ptxt$cbos
))
tv <- sub(", (?=[A-z0-9]+$)", if (length(tv) > 2) ", & " else " & ", paste(tv, collapse = ", "), perl = TRUE)
}
note <- paste0(
if (ck$spm) paste0(tv, " split by ", txt$split, ". "),
if (ck$er) paste("Error bars show", ifelse(ck$e, "standard error. ", "95% confidence intervals. ")),
if (ck$cbn) ptxt$cbn,
if (ck$t == 3 && ck$ltck) {
paste0("Line type: ", switch(ck$ltco,
li = "lm",
lo = "loess",
sm = "spline",
e = "connected",
pr = "probability"
), ".")
}
)
}
} else {
note <- ""
}
}
ck$sud <- (!is.logical(sud) || sud) && (is.character(sud) || ck$su || ck$c)
ck$sub <- (!is.logical(sub) || sub) && (is.character(sub) || seg$ll > 1 || ndisp)
pdo <- list(...)
l2m <- function(l) {
tl <- round(l^.5)
c(tl + all(l > c(tl^2, tl * (tl - 1))), tl)
}
seg$dim <- if (any(ckl <- c("mfrow", "mfcol") %in% names(pdo))) {
pdo[[if (ckl[1]) "mfrow" else "mfcol"]]
} else if (!seg$f1$e) {
c(1, 1)
} else if (!seg$f2$e) {
if (seg$f1$ll > 2) l2m(seg$f1$ll) else c(2, 1)
} else {
c(seg$f1$ll, seg$f2$ll)
}
seg$l <- t(data.frame(strsplit(names(cdat), ".^^.", fixed = TRUE)))
if (seg$f1$e) {
rownames(seg$l) <- match(seg$l[, 1], seg$f1$l)
seg[c("f1", "f2")] <- lapply(c("f1", "f2"), function(n) {
nl <- seg[[n]]
if (nl$e) nl$l <- unique(seg$l[, if (n == "f1") 1 else 2])
if (nl$e) nl$ll <- length(nl$l)
nl
})
}
nc <- seg$dim[1] * seg$dim[2]
if (length(ptxt$leg) == 1 && ptxt$leg == "NA") ck$leg <- 0
if (ck$leg == 1 && ck$legm && (dev.size(units = "in")[1] < 2 ||
(all(seg$dim == 1) && (ck$t != 1 || seg$by$ll < 9)))) {
ck$leg <- 2
}
if (ck$leg == 1) if (is.logical(leg) || is.character(leg)) leg <- nc + 1
dop <- par(no.readonly = TRUE)
if (drop["bet"] && !any(ckl) && any(nc - seg$ll >= seg$dim)) {
seg$dim <- l2m(seg$ll)
nc <- seg$dim[1] * seg$dim[2]
}
seg$dmat <- matrix(seq_len(nc), seg$dim[2], seg$dim[1])
if (!drop["bet"] && seg$f2$e) {
seg$lc <- vapply(seg$f1$l, function(l) seg$f2$l %in% seg$l[seg$l[, 1] == l, 2], logical(seg$f2$ll))
} else {
seg$lc <- seg$dmat == 0
seg$lc[seq_len(seg$ll)] <- TRUE
}
if (nc > seg$ll) {
if (any(ckl)) {
tm <- lapply(dim(seg$lc), seq_len)
mm <- matrix(FALSE, seg$dim[2], seg$dim[1])
mm[tm[[1]], tm[[2]]] <- seg$lc
seg$lc <- mm
}
if (!drop["bet"]) {
seg$dmat[seg$lc] <- seq_len(seg$ll)
seg$dmat[!seg$lc] <- seq_len(sum(!seg$lc)) + seg$ll
}
}
ck$legcol <- FALSE
if (lpos == "auto") "topright"
lega <- list(x = lpos, col = seg$lcols, cex = cex["leg"], text.font = font["leg"], bty = "n", x.intersp = .5, xjust = .5, legend = ptxt$leg)
if (ck$legt && (is.character(leg.title) && length(leg.title) == 1 || length(ptxt$by) == 1)) {
lega$title <- if (is.character(leg.title)) leg.title else ptxt$by
}
l <- length(lega$legend)
seg$lwd <- rep_len(if (is.numeric(lwd)) lwd else 2, seg$by$ll)
if (!"lty" %in% names(seg)) seg$lty <- rep_len(if (!ck$ltym && !ck$lty) lty else if (ck$cbleg && ck$cbb && seg$by$ll == length(cba$by)) as.numeric(cba$by) else if (ck$lty && lty) seq_len(6) else 1, seg$by$ll)
if (length(seg$cols) == length(seg$lcols)) names(seg$lcols) <- names(seg$cols)
if (seg$by$e || ck$cbb) names(seg$lwd) <- names(seg$lty) <- if (length(seg$lcols) == seg$by$ll) names(seg$lcols) else if (all(c(length(seg$lwd), length(seg$lty)) == length(seg$cols))) names(seg$cols) else seg$by$l
lega$lwd <- if (seg$by$ll == l) seg$lwd else rep_len(if (is.numeric(lwd)) lwd else 2, l)
lega$lty <- if (seg$by$ll == l) seg$lty else rep_len(if (!ck$ltym && !ck$lty) lty else if (ck$lty && lty) seq_len(6) else 1, l)
if (!missing(leg.args)) lega[names(leg.args)] <- leg.args
if (any(tck <- !names(lega) %in% names(formals(legend)))) {
warning("dropped items from leg.args: ", paste(names(lega)[tck], collapse = ", "), call. = FALSE)
lega <- lega[!tck]
}
if ((ck$legm || !ck$leg) && missing(leg.args) && (sum(strheight(lega$legend, "i")) * cex["leg"] * 1.5 / if ("ncol" %in% names(pdo)) {
pdo$ncol
} else {
1
}) > dev.size()[2]) {
ck$leg <- 0
if (ck$ltym) seg$lty[] <- 1
}
if (ck$leg == 1) {
if (ck$legm && nc > seg$ll) leg <- which(!seg$lc)[1]
if (nc > seg$ll && leg <= nc) {
if (seg$lc[leg] && !drop["bet"]) {
mm <- which(!seg$lc)
leg <- mm[which.min(abs(mm - leg))]
}
if (seg$lc[leg]) {
seg$lc[] <- TRUE
seg$lc[leg] <- FALSE
seg$lc[seg$lc][bsq <- seq_len(nc - seg$ll - 1) + seg$ll] <- FALSE
seg$dmat[seg$lc] <- seq_len(seg$ll)
seg$dmat[leg] <- seg$ll + 1
seg$lc[leg] <- TRUE
seg$dmat[!seg$lc] <- bsq + 1
} else {
seg$lc[leg] <- TRUE
seg$dmat[leg] <- seg$ll + 1
seg$dmat[!seg$lc] <- seq_len(sum(!seg$lc)) + seg$ll + 1
}
if (ck$lp) lega$x <- "center"
} else if (ck$lp) lega$x <- "right"
if (nc == seg$ll || leg > nc) {
seg$dmat[seg$dmat == seg$ll + 1] <- nc + 1
seg$dmat <- rbind(seg$dmat, rep.int(seg$ll + 1, seg$dim[1]))
ck$legcol <- TRUE
}
}
seg[c("dmat", "lc")] <- lapply(seg[c("dmat", "lc")], t)
seg$prat <- if (missing(prat) && ck$legcol) {
lw <- max(.4, if (ck$legt) strwidth(lega$title, "i"), strwidth(ptxt$leg, "i") / if (seg$ll > 1) 1.3 else 1.7) +
if (all(seg$dim == 1)) .5 else .2
fw <- (dev.size(units = "in")[1] - lw) / seg$dim[2]
c(fw, max(fw / 10, lw))
} else {
prat
}
op <- list(
oma = c(
sum(is.character(note) && note != "", ck$lx) + .15, ck$ly * .9,
max(sum((main != "") * 1.8 + if (sum(seg$dim) > 2) .5 else 0, ck$sud), 1), .5
),
mar = c(
if (ck$lx) 2 else 1.5, if (ck$ly) 3 else 2.4, (ck$sud && (ck$su || ck$c)) *
ifelse(seg$ll > 1, 2, 0) + (ck$sub && sum(seg$dim) > 2) * 1.3, 0
),
mgp = c(3, .3, 0),
font.main = 1,
font.lab = 2,
cex.main = 1,
cex.lab = 1,
cex.axis = 1,
tcl = -.2,
pch = 19,
xpd = NA
)
if (length(pdo) != 0) {
if (any(cpdo <- (npdo <- names(pdo)) %in% names(dop))) {
ck$mai <- "mai" %in% npdo
op[npdo[cpdo]] <- pdo[cpdo]
if ("font.sub" %in% names(op)) op$font.main <- op$font.sub
if ("cex.sub" %in% names(op)) op$cex.main <- op$cex.sub
if ("col.sub" %in% names(op)) op$col.main <- op$col.sub
}
pdo <- pdo[!cpdo]
}
if (!"horiz" %in% names(pdo) && !"ncol" %in% names(leg.args)) lega$ncol <- 1
if (length(pdo) != 0) {
if (any(cpdo <- (npdo %in% names(formals(legend)) & !npdo %in% names(leg.args)))) lega[npdo[cpdo]] <- pdo[cpdo]
if (any(!cpdo)) {
warning("unused argument", if (sum(!cpdo) == 1) ": " else "s: ",
paste(names(pdo)[!cpdo], collapse = ", "),
call. = FALSE
)
}
}
expand_color_code <- function(e) {
if (is.character(e) && all(grepl("^#[0-9a-f]{3}$", e, TRUE))) paste0(e, substring(e, 2)) else e
}
pdo <- lapply(pdo, expand_color_code)
op <- lapply(op, expand_color_code)
if (dark) {
op$fg <- op$col <- op$col.axis <- op$col.main <- op$col.sub <- op$col.sub <- "white"
if (is.null(op$bg) && par("bg") == "white") warning("foreground and background are both white")
}
par(op)
on.exit(par(dop))
layout(seg$dmat, c(rep.int(seg$prat[1], seg$dim[2]), if (ck$legcol) seg$prat[if (length(seg$prat) > 1) 2 else 1]))
success <- FALSE
ck$scol <- "scols" %in% names(seg)
for (i in names(cdat)) {
tryCatch(
{
# plotting
cl <- (if ("list" %in% class(cdat[[i]])) vapply(cdat[[i]], NROW, 0) else nrow(cdat[[i]])) > 0
if (any(!cl)) {
cdat[[i]] <- cdat[[i]][cl]
if (length(cdat[[i]]) == 0) next
}
if (ck$scol) seg$cols <- seg$lcols <- seg$scols[[i]]
cl <- strsplit(i, ".^^.", fixed = TRUE)[[1]]
ptxt$sub <- if (is.character(sub)) {
sub
} else if (ck$sub) {
if (seg$ll > 1 || (!missing(ndisp) && ndisp)) {
paste0(
if (seg$f1$e) {
paste0(
if (lvn || (ck$mlvn && grepl("^[0-9]", cl[1]))) paste0(ptxt$bet[1], ": "), cl[1],
if (seg$f2$e) paste0(", ", if (lvn || (ck$mlvn && grepl("^[0-9]", cl[2]))) paste0(ptxt$bet[2], ": "), cl[2])
)
}, if ((length(names(cdat)) > 1 || !missing(ndisp)) && ndisp) paste(", n =", seg$n[i])
)
} else {
""
}
}
if (!is.null(sort) && ck$t != 2 && any(class(if (seg$by$e) cdat[[i]][[1]][, "x"] else cdat[[i]][, "x"]) %in%
c("factor", "character"))) {
nsl <- grepl("^[Ff]", as.character(sort))
sdir <- grepl("^[DdTt]", as.character(sort))
td <- if (seg$by$e) do.call(rbind, cdat[[i]]) else cdat[[i]]
td[, "x"] <- as.character(td[, "x"])
cdat[[i]] <- do.call(rbind, lapply(
if (nsl) {
lvs(td[, "x"])
} else {
names(sort(vapply(split(td[, "y"], td[, "x"]), mean, 0, na.rm = TRUE), sdir))
},
function(l) td[td[, "x"] == l, , drop = FALSE]
))
seg$x$l <- ptxt$l.x <- lvs(cdat[[i]][, "x"])
cdat[[i]][, "x"] <- factor(cdat[[i]][, "x"], seg$x$l)
if (seg$by$e) cdat[[i]] <- split(cdat[[i]], cdat[[i]][, "by"])
}
if (ck$t == 1) {
# bar and line
flipped <- FALSE
if (missing(byx) && ck$mv && any(vapply(cdat[[i]], function(d) {
any(vapply(
split(d$y, as.character(d$x)),
function(dl) if (length(dl) == 1) 0 else var(dl), 0
) == 0)
}, TRUE))) {
byx <- FALSE
}
if (byx && lim < Inf && seg$by$e && (is.list(cdat[[i]]) && length(cdat[[i]]) > 1)) {
flipped <- TRUE
cdat[[i]] <- do.call(rbind, cdat[[i]])
cdat[[i]][c("x", "by")] <- cdat[[i]][c("by", "x")]
if (is.numeric(cdat[[i]]$x)) cdat[[i]]$x <- as.character(cdat[[i]]$x)
cdat[[i]] <- split(cdat[[i]], cdat[[i]]$by)[lvs(cdat[[i]]$by)]
}
dl <- if (cl <- "list" %in% class(cdat[[1]])) length(cdat[[i]]) else 1
mot <- paste0("y~0+", paste(names(if (cl) cdat[[i]][[1]] else cdat[[i]])[c(2, cvar)], collapse = "+"))
m <- pe <- ne <- matrix(NA, seg$by$ll, max(c(1, length(seg$x$l))), dimnames = list(seg$by$l, seg$x$l))
if (flipped) m <- pe <- ne <- t(m)
rn <- if (nrow(m) == 1) 1 else rownames(m)
cn <- if (seg$by$e && flipped) seg$by$l else colnames(m)
for (l in seq_len(dl)) {
ri <- rn[l]
td <- if (cl) cdat[[i]][[ri]] else cdat[[i]]
if (is.null(td)) next
if (nrow(td) > 1 && length(unique(td$x)) > 1) {
mo <- lm(mot, data = td)
ccn <- sub("^x", "", names(mo$coef))
sus <- which(ccn %in% cn)
su <- ccn[sus]
m[ri, su] <- mo$coef[sus]
if (nrow(td) > 2 && anyDuplicated(td$x)) {
if (ck$e) {
e <- suppressWarnings(summary(update(mo, ~ . - 0))$coef[sus, 2])
e <- e[c(2, seq_along(e)[-1])]
pe[ri, su] <- m[l, su] + e
ne[ri, su] <- m[l, su] - e
} else {
e <- confint(mo)[sus, ]
pe[ri, su] <- e[, 2]
ne[ri, su] <- e[, 1]
}
}
} else {
if (nrow(td) == 0) next
mo <- lapply(split(td, td["x"]), function(s) if (nrow(s) == 0) NA else mean(s[is.finite(s[, "y"]), "y"]))
m[ri, ] <- unlist(mo[colnames(m)])
}
}
re <- if (flipped) list(m = t(m), ne = t(ne), pe = t(pe)) else list(m = m, ne = ne, pe = pe)
if (ck$ltm && all(apply(is.na(re$m), 2, any))) {
drop["x"] <- FALSE
line.type <- "b"
}
dx <- !apply(is.na(re$m), 2, all)
if (drop["x"]) re <- lapply(re, function(s) s[, dx, drop = FALSE])
m <- re$m
ne <- re$ne
pe <- re$pe
if (all(mna <- is.na(m))) next
re <- lapply(re, function(s) {
na <- is.na(s)
s[na] <- m[na]
s[!mna]
})
if (ck$el) ck$el <- all(round(re$m - re$ne, 8) != 0)
lb <- min(re$m) - if (!ck$el) round((max(re$m) - min(re$m)) / 10) else max(abs(re$m - re$ne)) * 1.2
if (ck$b && !ck$el) lb <- lb - (max(re$m) - min(re$m)) * .1
dm <- dim(m)
ylim <- if (missing(myl)) c(lb, max(re$m) + if (ck$el) max(abs(re$m - re$pe)) else 0) else myl
if (ck$leg == 2 && ck$lp) {
if (!seg$by$e && ncol(m) == 2) {
lega$x <- "top"
} else {
lega$x <- apply(m, 2, function(r) {
na <- !is.na(r)
if (any(na)) max(r[na]) else -Inf
})
stw <- ncol(m)
oyl <- if (stw %% 2) 3 else 2
lega$x <- c("topleft", "top", "topright")[if (oyl == 2) -2 else 1:3][which.min(vapply(split(lega$x, rep(seq_len(oyl),
each = stw / oyl
)[seq_len(stw)]), mean, 0, na.rm = TRUE))]
if (is.na(lega$x)) lega$x <- "topright"
}
}
if (any(is.na(ylim))) next
oyl <- axTicks(2, c(ylim[1], ylim[2], par("yaxp")[3]))
rn <- if (nrow(m) == 1) colnames(m) else rownames(m)
colnames(m) <- if (drop["x"] && sum(dx) == ncol(m)) ptxt$l.x[dx] else ptxt$l.x
stw <- strwidth(colnames(m), "i")
if ((missing(xlas) || xlas > 1) && sum(stw) > par("fin")[1] - sum(par("omi")[c(2, 4)]) - dm[2] * .1 && par("fin")[1] > 2.5) {
xlas <- 3
if (missing(mxl)) mxl <- c(1, dm[2])
mh <- c(par("fin")[2] / 2, max(stw))
par(mai = if (ck$mai) op$mai else c(min(mh) + .25, par("mai")[-1]))
if (mh[1] < mh[2] && missing(labels.trim)) {
mh <- round(mh[1] / .1)
n <- colnames(m)
ln <- nchar(n) > mh
colnames(m)[ln] <- sub("$", "...", strtrim(n[ln], mh))
}
}
if (min(re$ne, na.rm = TRUE) >= 0) autori <- FALSE
rck <- !is.list(seg$cols) && all(rn %in% names(seg$cols))
if (rck && length(seg$cols) < dm[1]) seg$cols <- rep_len(seg$cols, dm[1])
if (!rck && ck$ltm && !ck$el) line.type <- "b"
if (ck$b) {
if (autori) {
a <- if (missing(myl)) lb else myl[1]
a <- a * -1
m <- m + a
ne <- ne + a
pe <- pe + a
ayl <- oyl + a
aj <- lapply(re, "+", a)
ylim <- if (missing(myl)) {
if (!ck$el) {
ylim + a
} else {
c(
min(aj$m) - max(abs(aj$m - aj$ne)) * 1.2,
max(aj$m) + max(abs(aj$m - aj$pe)) * if (ck$leg == 2 && seg$by$ll > 1) seg$by$ll^.3 + .7 else 1.2
)
}
} else {
myl + a
}
}
if (dm[1] != 1) rownames(m) <- ptxt$l.by[rn]
lega[c("lwd", "lty")] <- NULL
lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35))
p <- barplot(m,
beside = TRUE, col = if (rck) seg$cols[rn] else seg$cols, axes = FALSE, axisnames = FALSE,
border = NA, ylab = NA, xlab = NA, ylim = ylim, main = if (ck$sub) ptxt$sub else NA,
xpd = if ("xpd" %in% names(pdo)) pdo$xpd else if (autori) NA else FALSE
)
} else {
p <- matrix(rep.int(seq_len(dm[2]), dm[1]), nrow = dm[1], byrow = TRUE)
plot(NA,
ylim = ylim, xlim = if (missing(mxl)) c(1 - stw[1] / 3, dm[2] + stw[length(stw)] / 3) else mxl, ylab = NA, xlab = NA,
main = if (ck$sub) ptxt$sub else NA, axes = FALSE
)
for (a in if (dm[1] == 1) 1 else if (all(rn %in% names(seg$cols))) rn else seq_len(dm[1])) {
graphics::lines(m[a, ], col = seg$cols[[a]], lty = seg$lty[[a]], lwd = seg$lwd[[a]], type = line.type)
}
}
if (ck$ileg) lega$legend <- rn
if (xaxis) axis(1, colMeans(p), colnames(m), FALSE, las = xlas, cex = par("cex.axis"), fg = par("col.axis"))
a2a <- list(2, las = ylas, cex = par("cex.axis"), fg = par("col.axis"))
if (ck$b && autori) {
a2a$at <- ayl
a2a$labels <- formatC(oyl, 2, format = "f")
}
if (yaxis) do.call(axis, a2a)
if (ck$el) {
te <- round(Reduce("-", list(ne, pe)), 8)
te[is.na(te)] <- 0
te <- te == 0
if (any(te)) ne[te] <- pe[te] <- NA
arrows(p, ne, p, pe, lwd = error.lwd, col = error.color, angle = 90, code = 3, length = .05)
}
} else if (ck$t == 2) {
# density
if (!is.list(density.args)) density.args <- list()
fdan <- names(formals(stats::density.default))
dan <- names(density.args)
if (any(mdan <- !dan %in% fdan)) {
warning(paste("unused density argument(s):", paste(dan[mdan], collapse = ", ")), call. = FALSE)
density.args <- density.args[!mdan]
}
density.args$give.Rkern <- FALSE
if (!missing(mxl)) {
if (!"from" %in% dan) density.args$from <- mxl[1]
if (!"to" %in% dan) density.args$to <- mxl[2]
}
if (!"n" %in% dan) density.args$n <- 512
n <- density.args$n
m <- list()
dl <- if (cl <- "list" %in% class(cdat[[i]])) length(cdat[[i]]) else 1
rnl <- logical(dl)
rn <- if (is.data.frame(cdat[[i]])) names(ptxt$l.by) else names(cdat[[i]])
dx <- dy <- numeric(n * seg$by$ll)
for (l in seq_len(dl)) {
tryCatch(
{
density.args$x <- (if (cl) cdat[[i]][[l]] else cdat[[i]])[, "y"]
m[[l]] <- do.call(stats::density, density.args)
dx[seq_len(n) + n * (l - 1)] <- m[[l]]$x
dy[seq_len(n) + n * (l - 1)] <- m[[l]]$y
rnl[l] <- TRUE
},
error = function(e) NULL
)
}
names(m) <- rn <- rn[rnl]
if (seg$by$ll > 1 || (ck$polyo && ck$poly)) {
plot(NA,
xlim = if (missing(mxl)) range(c(dx, dx)) else mxl, ylim = if (missing(myl)) c(0, max(dy)) else myl,
main = if (ck$sub) ptxt$sub else NA, ylab = NA, xlab = NA, axes = FALSE, xpd = if ("xpd" %in% names(pdo)) pdo$xpd else FALSE
)
for (l in if (seg$by$ll > 1 && all(rn %in% names(seg$cols))) rn else seq_along(m)) {
if (ck$poly) polygon(m[[l]], col = adjustcolor(seg$cols[[l]], density.opacity), border = NA)
if (!is.logical(lines) || lines) graphics::lines(m[[l]], col = seg$cols[[l]], lwd = seg$lwd[[l]], lty = seg$lty[[l]])
}
if (ck$ileg) lega$legend <- rn
} else {
col <- if (length(seg$lcols) > 2) "#555555" else seg$lcols[1]
if (ck$leg) {
lega[c("lwd", "lty")] <- NULL
lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35))
}
y <- (if (cl) cdat[[i]][[1]] else cdat[[i]])[, "y"]
hp <- hist(y, breaks, plot = FALSE)
if (ck$cb && length(seg$cols) == nr) {
nb <- length(hp$counts)
seg$cols <- vapply(split(seg$cols[order(y)], sort(rep_len(seq_len(nb), nr))), csf, "")
if (!ckn) seg$cols <- adjustcolor(seg$cols, 1, color.offset, color.offset, color.offset)
} else if (!color.lock && (ck$co || length(seg$cols) == 1)) {
seg$cols[2] <- adjustcolor(seg$cols[1], 1, color.offset, color.offset, color.offset)
}
hist(
y, breaks, FALSE,
border = if ("border" %in% names(pdo)) pdo$border else par("bg"), main = if (ck$sub) ptxt$sub else NA,
ylab = NA, xlab = NA, axes = FALSE, col = if (length(seg$cols) == 2) seg$cols[2] else seg$cols,
xlim = if (missing(mxl)) range(hp$breaks) else mxl,
ylim = if (missing(myl)) c(0, max(c(dy, hp$density))) else myl
)
if (!is.logical(lines) || lines) {
graphics::lines(m[[1]], col = col, lwd = lwd, xpd = if ("xpd" %in% names(pdo)) {
pdo$xpd
} else {
FALSE
})
}
}
if (ck$lp && ck$leg == 2) lega$x <- if (mean(dx) > mean(range(dx))) "topleft" else "topright"
if (xaxis) axis(1, las = xlas, cex = par("cex.axis"), fg = par("col.axis"))
if (yaxis) axis(2, las = ylas, cex = par("cex.axis"), fg = par("col.axis"))
} else {
# scatter
dl <- if (cl <- "list" %in% class(cdat[[i]])) length(cdat[[i]]) else 1
rn <- if (is.data.frame(cdat[[i]])) seg$by$l else names(cdat[[i]])
td <- if (cl) do.call(rbind, cdat[[i]]) else cdat[[i]]
cx <- td[, "x"]
cy <- td[, "y"]
xch <- if (is.numeric(cx) || is.logical(cx)) cx else as.numeric(factor(cx))
a2a <- list(cex = par("cex.axis"), fg = par("col.axis"))
if (length(ptxt$l.x) != 0) {
a2a$tick <- FALSE
a2a$at <- seq_along(ptxt$l.x)
a2a$labels <- ptxt$l.x
if (missing(xlas) || xlas > 1) {
xlas <- 3
par(mai = if (ck$mai) {
op$mai
} else {
c(
min(c(par("fin")[2] / 2, max(strwidth(ptxt$l.x, "i")))) + .25, par("mai")[-1]
)
})
}
}
plot(
NA,
xlim = if (missing(mxl)) range(xch, na.rm = TRUE) else mxl,
ylim = if (missing(myl)) {
c(min(cy, na.rm = TRUE), max(cy, na.rm = TRUE) + max(cy, na.rm = TRUE) *
if (ck$leg == 1 && seg$by$ll < lim) seg$by$ll / 20 else 0)
} else {
myl
},
main = if (ck$sub) ptxt$sub else NA, ylab = NA, xlab = NA, axes = FALSE
)
if (yaxis) {
do.call(axis, c(list(2, las = ylas), c(
a2a[c("cex", "fg")],
if ("yax" %in% names(txt)) list(at = seq_along(txt$yax), labels = txt$yax, tick = FALSE)
)))
}
if (xaxis) do.call(axis, c(list(1, las = xlas), a2a))
if (ck$leg > 1) {
up <- xch[cy >= quantile(cy, na.rm = TRUE)[4]]
mr <- quantile(xch, na.rm = TRUE)
if (ck$lp) lega$x <- if (sum(up < mr[2]) > sum(up > mr[4])) "topright" else "topleft"
if (ck$ileg) lega$legend <- rn
}
padj <- if (color.lock || ck$cb || (missing(color.offset) && !ck$ltck)) 1 else color.offset
ckcn <- all(rn %in% names(seg$cols))
ckln <- all(rn %in% names(seg$lcols))
if (!ckln) {
if (ckcn) {
seg$lcols <- seg$cols
} else {
seg$lcols[] <- if (opacity != 1) {
adjustcolor("#555555", opacity)
} else {
"#555555"
}
}
}
lwd <- rep_len(if (is.numeric(lwd)) lwd else 2, dl)
for (l in if (ckcn) rn else seq_len(dl)) {
td <- if (cl) cdat[[i]][[l]] else cdat[[i]]
if (is.null(td)) next
x <- td[, "x"]
y <- td[, "y"]
col <- if (ckcn) seg$cols[[l]] else seg$cols
if (opacity != 1 || padj != 1) col <- adjustcolor(col, opacity, padj, padj, padj)
if (points && points.first) points(x, y, col = col, cex = cex["points"])
if (ck$ltck) {
lt <- if (ck$ltco == "pr" && length(unique(y)) != 2) "li" else ck$ltco
fit <- if (lt == "e") {
y
} else {
tryCatch(
{
if (ck$c) {
lm(y ~ x + as.matrix(td[, cvar, drop = FALSE]))$fitted
} else if (lt == "pr") {
yr <- range(y)
y <- factor(y, labels = c(0, 1))
fit <- predict(glm(y ~ x, binomial))
fit <- exp(fit) / (1 + exp(fit))
if (!all(yr == c(0, 1))) fit <- (fit - mean(fit)) * (yr[2] - yr[1]) + mean(yr)
if (max(fit) > yr[2]) fit - (max(fit) - yr[2]) else fit
} else {
predict(switch(lt,
li = lm,
lo = loess,
sm = smooth.spline
)(y ~ x))
}
},
error = function(e) {
warning("error estimating line: ", e$message, call. = FALSE)
NULL
}
)
}
if (!is.null(fit)) {
if (lt == "e") {
xo <- x
} else if (lt == "sm") {
xo <- fit$x
fit <- fit$y
} else {
or <- order(x)
xo <- x[or]
fit <- fit[or]
}
graphics::lines(xo, fit, col = seg$lcols[[l]], lty = seg$lty[[l]], lwd = seg$lwd[[l]])
}
}
if (points && !points.first) points(x, y, col = col, cex = cex["points"])
}
}
if (ck$leg == 2) {
if (ck$lpm) {
message("click to place the legend")
lega[c("x", "y")] <- locator(1)
if (is.null(lega$x)) {
warning("placing the legend with locator(1) failed")
lega$y <- NULL
lega$x <- if (seg$ll > 1) "topright" else "right"
}
}
tf <- par("font")
par(font = font["leg.title"])
do.call(legend, lega)
par(font = tf)
}
success <- TRUE
if (!missing(add)) {
add_attempt <- tryCatch(eval(substitute(add), fdat), error = function(e) list(failed = TRUE))
if (is.list(add_attempt) && isTRUE(add_attempt$failed)) {
tryCatch(
eval(substitute(add), parent.frame(1)),
error = function(e) warning("error from add: ", e$message, call. = FALSE)
)
}
}
},
error = function(e) {
dev.off()
stop(e)
}
)
}
if (!success) stop("failed to make any plots with the current input", call. = FALSE)
if (ck$leg == 1) {
if (all(par("mfg")[1:2] != 0)) {
plot.new()
if (ck$b) lega[c("pch", "pt.cex", "x.intersp", "y.intersp", "adj")] <- list(15, 2, 1, 1.2, c(0, .35))
if (ck$lpm) {
message("click to place the legend")
lega[c("x", "y")] <- locator(1)
if (is.null(lega$x)) {
warning("placing the legend with locator(1) failed")
lega$y <- NULL
lega$x <- if (seg$ll > 1) "topright" else "right"
}
}
tf <- par("font")
par(font = font["leg.title"])
do.call(legend, lega)
par(font = tf)
} else {
warning("legend positioning failed", call. = FALSE)
}
}
if (ck$sud && any(ck$su, ck$c, is.character(sud))) {
mtext(
if (is.character(sud)) {
sud
} else {
gsub(", (?=[A-z0-9 ]+$)", ifelse(length(ptxt$cov) > 2, ", & ", " & "), gsub("^ | $", "", paste0(if (ck$su) {
paste("Subset:", paste0(txt$su[1], if (length(txt$su) != 1) "..."))
}, if (ck$su && ck$c) ", ", if (ck$c) {
paste(if (ck$t == 1) "Covariates:" else "Line adjustment:", paste(ptxt$cov, collapse = ", "))
})), TRUE, TRUE)
},
3, 0, TRUE,
cex = cex["sud"], font = font["sud"]
)
}
mtext(main, 3, if (ck$sud) 1.5 else .5, TRUE, cex = cex["title"], font = font["title"])
mtext(ylab, 2, -.2, TRUE, cex = par("cex.lab"), font = par("font.lab"))
mtext(xlab, 1, 0, TRUE, cex = par("cex.lab"), font = par("font.lab"))
if (is.character(note)) mtext(note, 1, ck$lx, TRUE, adj = if (ck$ly) 0 else .01, font = font["note"], cex = cex["note"])
if (save || (missing(save) && any(!missing(format), !missing(file.name), !missing(dims)))) {
tryCatch(
{
if (is.character(format) || is.name(format)) {
t <- as.character(format)
format <- eval(parse(text = t))
} else {
t <- deparse(substitute(format))
}
if (is.function(format)) t <- sub("^[^:]*::", "", t)
tt <- if (any(grepl("cairo", t, TRUE))) {
paste0(".", tolower(strsplit(t, "_|Cairo")[[1]][2]))
} else if (t == "postscript") ".ps" else paste0(".", t)
if (missing(dims) && grepl("jpeg|png|tiff|bmp|bit", t, TRUE)) dims <- dev.size(units = "px")
fn <- paste0(if (main == "" || !missing(file.name)) {
sub("\\.[^.]+$", "", file.name)
} else {
gsub("\\s+", "_", gsub("^ +| +$| ", "", main))
}, tt)
dev.copy(format, fn, width = dims[1], height = dims[2])
dev.off()
if (file.exists(fn)) message("image saved: ", fn) else warning("failed to save image")
},
error = function(e) warning("unable to save image: ", e$message, call. = FALSE)
)
}
invisible(list(dat = dat, cdat = cdat, txt = txt, ptxt = ptxt, seg = seg, ck = ck, lega = lega, fmod = fmod))
}
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