R/position.r In coefplot: Plots Coefficients from Fitted Models

Documented in position_dodgev

```# Detect and prevent collisions.
# Powers dodging, stacking and filling.
collidev <- function(data, height = NULL, name, strategy, check.height = TRUE) {
# Determine height
if (!is.null(height)) {
# height set manually
if (!(all(c("ymin", "ymax") %in% names(data)))) {
data\$ymin <- data\$y - height / 2
data\$ymax <- data\$y + height / 2
}
} else {
if (!(all(c("ymin", "ymax") %in% names(data)))) {
data\$ymin <- data\$y
data\$ymax <- data\$y
}

# height determined from data, must be floating point constant
heights <- unique(data\$ymax - data\$ymin)
heights <- heights[!is.na(heights)]

#   # Suppress warning message since it's not reliable
#     if (!zero_range(range(heights))) {
#       warning(name, " requires constant height: output may be incorrect",
#         call. = FALSE)
#     }
height <- heights[1]
}

# Reorder by x position, relying on stable sort to preserve existing
# ordering, which may be by group or order.
data <- data[order(data\$ymin), ]

# Check for overlap
intervals <- as.numeric(t(unique(data[c("ymin", "ymax")])))
intervals <- intervals[!is.na(intervals)]

if (length(unique(intervals)) > 1 & any(diff(scale(intervals)) < -1e-6)) {
warning(name, " requires non-overlapping y intervals", call. = FALSE)
# This is where the algorithm from [L. Wilkinson. Dot plots.
# The American Statistician, 1999.] should be used
}

if (!is.null(data\$xmax)) {
plyr::ddply(data, "ymin", strategy, height = height)
} else if (!is.null(data\$x)) {
data\$xmax <- data\$x
data <- plyr::ddply(data, "ymin", strategy, height = height)
data\$x <- data\$xmax
data
} else {
stop("Neither x nor xmax defined")
}
}

# Stack overlapping intervals.
# Assumes that each set has the same horizontal position
pos_stackv <- function(df, height) {
if (nrow(df) == 1) return(df)

n <- nrow(df) + 1
x <- ifelse(is.na(df\$x), 0, df\$x)
if (all(is.na(df\$y))) {
heights <- rep(NA, n)
} else {
heights <- c(0, cumsum(x))
}

df\$xmin <- heights[-n]
df\$xmax <- heights[-1]
df\$x <- df\$xmax
df
}

# Stack overlapping intervals and set height to 1.
# Assumes that each set has the same horizontal position.
pos_fillv <- function(df, height) {
stacked <- pos_stackv(df, height)
stacked\$xmin <- stacked\$xmin / max(stacked\$xmax)
stacked\$xmax <- stacked\$xmax / max(stacked\$xmax)
stacked\$x <- stacked\$xmax
stacked
}

# Dodge overlapping interval.
# Assumes that each set has the same horizontal position.
pos_dodgev <- function(df, height) {
n <- length(unique(df\$group))
if (n == 1) return(df)

if (!all(c("ymin", "ymax") %in% names(df))) {
df\$ymin <- df\$y
df\$ymax <- df\$y
}

d_height <- max(df\$ymax - df\$ymin)

# df <- data.frame(n = c(2:5, 10, 26), div = c(4, 3, 2.666666,  2.5, 2.2, 2.1))
# ggplot(df, aes(n, div)) + geom_point()

# Have a new group index from 1 to number of groups.
# This might be needed if the group numbers in this set don't include all of 1:n
groupidy <- match(df\$group, sort(unique(df\$group)))

# Find the center for each group, then use that to calculate xmin and xmax
df\$y <- df\$y + height * ((groupidy - 0.5) / n - .5)
df\$ymin <- df\$y - d_height / n / 2
df\$ymax <- df\$y + d_height / n / 2

df
}

#' Adjust position by dodging overlaps to the side.
#'
#' @inheritParams ggplot2::position_identity
#' @param height Dodging height, when different to the height of the individual
#'   elements. This is useful when you want to align narrow geoms with wider
#'   geoms. See the examples for a use case.
#' @export
#' @examples
#' ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) +
#'   geom_bar(position = "dodge")
#'
#' ggplot(diamonds, aes(price, fill = cut)) +
#'   geom_histogram(position="dodge")
#' # see ?geom_boxplot and ?geom_bar for more examples
#'
#' # To dodge items with different heights, you need to be explicit
#' df <- data.frame(x=c("a","a","b","b"), y=2:5, g = rep(1:2, 2))
#' p <- ggplot(df, aes(x, y, group = g)) +
#'   geom_bar(
#'     stat = "identity", position = "dodge",
#'     fill = "grey50", colour = "black"
#'   )
#' p
#'
#' # A line range has no height:
#' p + geom_linerange(aes(ymin = y-1, ymax = y+1), position = "dodge")
#' # You need to explicitly specify the height for dodging
#' p + geom_linerange(aes(ymin = y-1, ymax = y+1),
#'   position = position_dodge(width = 0.9))
#'
#' # Similarly with error bars:
#' p + geom_errorbar(aes(ymin = y-1, ymax = y+1), width = 0.2,
#'   position = "dodge")
#' p + geom_errorbar(aes(ymin = y-1, ymax = y+1, height = 0.2),
#'   position = position_dodge(width = 0.90))
#'
position_dodgev <- function(height = NULL) {
ggproto(NULL, PositionDodgeV, height = height)
}

PositionDodgeV <- ggproto("PositionDodgeV", Position,
required_aes = "y",
height = NULL,
setup_params = function(self, data) {
if (is.null(data\$ymin) && is.null(data\$ymax) && is.null(self\$height)) {
warning("height not defined. Set with `position_dodgev(height = ?)`",
call. = FALSE)
}
list(height = self\$height)
},

compute_panel = function(data, params, scales) {
collidev(data, params\$height, "position_dodgev", pos_dodgev, check.height = FALSE)
}
)
```

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coefplot documentation built on March 18, 2022, 7:58 p.m.