geom_serialaxes_hist: Histogram for "widens" data under serial axes coordinate

In ggmulti: High Dimensional Data Visualization

Histogram for "widens" data under serial axes coordinate

Description

Computes and draws histogram on serial axes coordinate for each non-aesthetics component defined in the mapping aes().

Usage

geom_serialaxes_hist(
  mapping = NULL,
  data = NULL,
  stat = "serialaxes_hist",
  position = "stack_",
  ...,
  axes.sequence = character(0L),
  axes.position = NULL,
  merge = TRUE,
  scale.y = c("data", "group"),
  as.mix = TRUE,
  positive = TRUE,
  prop = 0.9,
  na.rm = FALSE,
  orientation = NA,
  show.legend = NA,
  inherit.aes = TRUE
)

stat_serialaxes_hist(
  mapping = NULL,
  data = NULL,
  geom = "serialaxes_hist",
  position = "stack_",
  ...,
  axes.sequence = character(0L),
  scaling = c("data", "variable", "observation", "none"),
  axes.position = NULL,
  binwidth = NULL,
  bins = NULL,
  center = NULL,
  boundary = NULL,
  breaks = NULL,
  closed = c("right", "left"),
  pad = FALSE,
  width = NULL,
  na.rm = FALSE,
  orientation = NA,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

mapping	Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.
data	The data to be displayed in this layer. There are three options: If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot(). A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created. A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).
stat	The statistical transformation to use on the data for this layer, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count")
position	Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.
...	Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.
axes.sequence	A vector to define the axes sequence. In serial axes coordinate, the sequence can be either determined in mapping (function aes()) or by axes.sequence. The only difference is that the mapping aesthetics will omit the duplicated axes (check examples in geom_serialaxes).
axes.position	A numerical vector to determine the axes sequence position; the length should be the same with the length of axes.sequence (or mapping aesthetics, see examples).
merge	Should axes.sequence be merged with mapping aesthetics as a single mapping uneval object?
scale.y	one of data and group to specify. Type Description data (default) The density estimates are scaled by the whole data set group The density estimates are scaled by each group If the scale.y is data, it is meaningful to compare the density (shape and area) across all groups; else it is only meaningful to compare the density within each group. See details.
as.mix	Logical. Within each group, if TRUE, the sum of the density estimate area is mixed and scaled to maximum 1. The area of each subgroup (in general, within each group one color represents one subgroup) is proportional to the count; if FALSE the area of each subgroup is the same, with maximum 1. See details.
positive	If y is set as the density estimate, where the smoothed curved is faced to, right ('positive') or left ('negative') as vertical layout; up ('positive') or down ('negative') as horizontal layout?
prop	adjust the proportional maximum height of the estimate (density, histogram, ...).
na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.
orientation	The orientation of the layer. The default (NA) automatically determines the orientation from the aesthetic mapping. In the rare event that this fails it can be given explicitly by setting orientation to either "x" or "y". See the Orientation section for more detail.
show.legend	logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.
inherit.aes	If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().
geom	The geometric object to use to display the data, either as a ggproto Geom subclass or as a string naming the geom stripped of the geom_ prefix (e.g. "point" rather than "geom_point")
scaling	one of data, variable, observation or none (not suggested the layout is the same with data) to specify how the data is scaled.
binwidth	The width of the bins. Can be specified as a numeric value or as a function that calculates width from unscaled x. Here, "unscaled x" refers to the original x values in the data, before application of any scale transformation. When specifying a function along with a grouping structure, the function will be called once per group. The default is to use the number of bins in bins, covering the range of the data. You should always override this value, exploring multiple widths to find the best to illustrate the stories in your data. The bin width of a date variable is the number of days in each time; the bin width of a time variable is the number of seconds.
bins	Number of bins. Overridden by binwidth. Defaults to 30.
center, boundary	bin position specifiers. Only one, center or boundary, may be specified for a single plot. center specifies the center of one of the bins. boundary specifies the boundary between two bins. Note that if either is above or below the range of the data, things will be shifted by the appropriate integer multiple of binwidth. For example, to center on integers use binwidth = 1 and center = 0, even if 0 is outside the range of the data. Alternatively, this same alignment can be specified with binwidth = 1 and boundary = 0.5, even if 0.5 is outside the range of the data.
breaks	Alternatively, you can supply a numeric vector giving the bin boundaries. Overrides binwidth, bins, center, and boundary.
closed	One of "right" or "left" indicating whether right or left edges of bins are included in the bin.
pad	If TRUE, adds empty bins at either end of x. This ensures frequency polygons touch 0. Defaults to FALSE.
width	Bar width. By default, set to 90% of the resolution() of the data.

See Also

geom_hist_, geom_serialaxes, geom_serialaxes_quantile, geom_serialaxes_density

Examples

p <- ggplot(NBAstats2021,
            mapping = aes(`FG%` = `FG%`,
                          `3P%` = `3P%`,
                          `FT%` = `FT%`,
                          `OFG%` = `OFG%`,
                          `O3P%` = `O3P%`,
                          `OFT%` = `OFT%`,
                          colour = Playoff,
                          fill = Playoff)) +
            geom_serialaxes(alpha = 0.2,
                            scaling = "variable") +
            geom_serialaxes_hist(alpha = 0.5,
                                 prop = 0.7,
                                 scaling = "variable") +
            scale_x_continuous(breaks = 1:6,
                               labels = c("FG", "3P", "FT",
                                          "OFG", "O3P", "OFT")) +
            scale_y_continuous(labels = NULL) +
            xlab("variable") +
            ylab("") +
            theme(axis.text.x = element_text(angle = 45, vjust = 0.5))
p

ggmulti documentation built on Nov. 10, 2022, 5:12 p.m.