Make square pie charts
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draw_key_waffle <- function(data, params, size, ...) { # nocov start
# msg("Called => draw_key_waffle()")
#
# print(str(data, 1))
# print(str(params, 1))
# print(str(size, 1))
# print(str(list(...), 1))
grid::roundrectGrob(
r = min(params$radius, unit(3, "pt")),
default.units = "native",
width = 0.9, height = 0.9,
name = "lkey",
gp = grid::gpar(
col = params[["color"]][[1]] %l0% params[["colour"]][1] %l0% data[["colour"]][[1]] %l0% "#00000000",
fill = alpha(data$fill %||% data$colour %||% "grey20", data$alpha),
lty = data$linetype %||% 1
)
)
} # nocov end
#' Waffle (Square pie chart) Geom
#'
#' There are two special/critical `aes()` mappings:
#' - `fill` (so the geom knows which column to map the country names/abbrevs to)
#' - `values` (which column you're mapping the filling for the squares with)
#'
#' @md
#' @param mapping Set of aesthetic mappings created by `aes()` or
#' `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.
#' @param n_rows how many rows should there be in the waffle chart? default is 10
#' @param flip If `TRUE`, flip x and y coords. n_rows then becomes n_cols.
#' Useful to achieve waffle column chart effect. Defaults is `FALSE`.
#' @param make_proportional compute proportions from the raw values? (i.e. each
#' value `n` will be replaced with `n`/`sum(n)`); default is `FALSE`.
#' @param radius radius
#' @param 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.
#' @param na.rm If `FALSE`, the default, missing values are removed with
#' a warning. If `TRUE`, missing values are silently removed.
#' @param 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.
#' @param 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()`.
#' @param ... other arguments passed on to `layer()`. These are
#' often aesthetics, used to set an aesthetic to a fixed value, like
#' `color = "red"` or `size = 3`. They may also be parameters
#' to the paired geom/stat.
#' @export
#' @examples
#' data.frame(
#' parts = factor(rep(month.abb[1:3], 3), levels=month.abb[1:3]),
#' vals = c(10, 20, 30, 6, 14, 40, 30, 20, 10),
#' fct = c(rep("Thing 1", 3), rep("Thing 2", 3), rep("Thing 3", 3))
#' ) -> xdf
#'
#' ggplot(xdf, aes(fill = parts, values = vals)) +
#' geom_waffle() +
#' facet_wrap(~fct)
geom_waffle <- function(mapping = NULL, data = NULL,
n_rows = 10, make_proportional = FALSE,
na.rm = NA, show.legend = NA, flip = FALSE,
radius = grid::unit(0, "npc"),
inherit.aes = TRUE, ...) {
# msg("Called => geom_waffle::geom_waffle()")
# msg("Done With => geom_waffle::geom_waffle()")
layer(
stat = StatWaffle,
data = data,
mapping = mapping,
geom = GeomWaffle,
position = "identity",
show.legend = show.legend,
inherit.aes = inherit.aes,
check.param = FALSE,
params = list(
na.rm = na.rm,
n_rows = n_rows,
make_proportional = make_proportional,
flip = flip,
radius = radius,
...
)
)
}
#' @rdname geom_waffle
#' @export
GeomWaffle <- ggplot2::ggproto(
`_class` = "GeomWaffle",
`_inherit` = GeomRtile,
default_aes = ggplot2::aes(
fill = NA, alpha = NA, colour = NA,
size = 0.125, linetype = 1, width = NA, height = NA
),
draw_group = function(self, data, panel_params, coord,
n_rows = 10, make_proportional = FALSE, flip = FALSE,
radius = grid::unit(0, "npc")) {
# msg("Called => GeomWaffle::draw_group()")
coord <- ggplot2::coord_equal()
grobs <- GeomRtile$draw_panel(data, panel_params, coord, radius)
# msg("Done With => GeomWaffle::draw_group()")
ggname("geom_waffle", grid::grobTree(children = grobs))
},
draw_panel = function(self, data, panel_params, coord,
n_rows = 10, make_proportional = FALSE, flip = FALSE,
radius = grid::unit(0, "npc")) {
# msg("Called => GeomWaffle::draw_panel()")
coord <- ggplot2::coord_equal()
# grid::gList(
grobs <- GeomRtile$draw_panel(data, panel_params, coord, radius)
# ) -> grobs
# msg("Done With => GeomWaffle::draw_panel()")
ggname("geom_waffle", grid::grobTree(children = grobs))
},
draw_key = draw_key_waffle
)
#' @rdname geom_waffle
#' @export
stat_waffle <- function(mapping = NULL, data = NULL, geom = "blank",
n_rows = 10, make_proportional = FALSE, flip = FALSE,
radius = grid::unit(0, "npc"),
na.rm = NA, show.legend = NA,
inherit.aes = TRUE, ...) {
# msg("Called => stat_waffle::stat_waffle()")
# msg("Done With => stat_waffle::stat_waffle()")
layer(
stat = StatWaffle,
data = data,
mapping = mapping,
geom = geom,
position = "identity",
show.legend = show.legend,
inherit.aes = inherit.aes,
check.param = FALSE,
params = list(
na.rm = na.rm,
n_rows = n_rows,
make_proportional = make_proportional,
flip = flip,
radius = radius,
...
)
)
}
#' @rdname geom_waffle
#' @export
StatWaffle <- ggplot2::ggproto(
`_class` = "StatWaffle",
`_inherit` = ggplot2::Stat,
extra_params = c("na.rm", "n_rows", "make_proportional", "flip", "radius"),
required_aes = c("fill", "values", "colour"),
setup_params = function(data, params) {
# msg("Called => StatWaffle::setup_params()")
# msg("Done With => StatWaffle::setup_params()")
params
},
setup_data = function(data, params) {
# msg("Called => StatWaffle::setup_data()")
#
# print(str(data, 1))
# print(str(params, 1))
use <- "fill"
if (inherits(data[[use]], "factor")) {
flvls <- levels(data[[use]])
} else {
flvls <- levels(factor(data[[use]]))
}
if (inherits(data[["colour"]], "factor")) {
clvls <- levels(data[["colour"]])
} else {
clvls <- levels(factor(data[["colour"]]))
}
if (!("colour" %in% names(data))) {
data[["colour"]] <- "white"
} else {
if (any(is.na(as.character(data[["colour"]])))) {
data[["colour"]] <- "white"
} else {
data[["colour"]] <- as.character(data[["colour"]])
}
}
p <- split(data, data$PANEL)
lapply(p, function(.x) {
if (params[["make_proportional"]]) {
.x[["values"]] <- .x[["values"]] / sum(.x[["values"]])
.x[["values"]] <- round_preserve_sum(.x[["values"]], digits = 2)
.x[["values"]] <- as.integer(.x[["values"]] * 100)
}
parts_vec <- unlist(sapply(1:length(.x[[use]]), function(i) {
rep(as.character(.x[[use]][i]), .x[["values"]][i])
}))
pgrp_vec <- unlist(sapply(1:length(.x[[use]]), function(i) {
rep(.x$group, .x[["values"]][i])
}))
# print(str(.x, 1))
colour_vec <- unlist(sapply(1:length(.x[[use]]), function(i) {
rep(.x[["colour"]][i], .x[["values"]][i])
}))
expand.grid(
y = 1:params$n_rows,
x = seq_len((ceiling(sum(.x[["values"]]) / params$n_rows)))#,
# stringsAsFactors = FALSE
) -> tdf
parts_vec <- c(parts_vec, rep(NA, nrow(tdf)-length(parts_vec)))
colour_vec <- c(colour_vec, rep(NA, nrow(tdf)-length(colour_vec)))
# tdf$parts <- parts_vec
tdf[["values"]] <- NA
tdf[["colour"]] <- colour_vec
tdf[[use]] <- parts_vec
tdf[["PANEL"]] <- .x[["PANEL"]][1]
tdf[["group"]] <- 1:nrow(tdf)
tdf <- tdf[sapply(tdf[[use]], function(x) !is.na(x)),]
}) -> p
p <- plyr::rbind.fill(p)
p[[use]] <- factor(p[[use]], levels=flvls)
p[["colour"]] <- factor(p[["colour"]], levels = clvls)
# print(str(p, 1))
#
# msg("Done With => StatWaffle::setup_data()")
# data
wdat <- p
if (params$flip) {
x_temp <- wdat$x
wdat$x <- wdat$y
wdat$y <- x_temp
x_temp <- NULL
}
wdat$width <- wdat$width %||% params$width %||% ggplot2::resolution(wdat$x, FALSE)
wdat$height <- wdat$height %||% params$height %||% ggplot2::resolution(wdat$y, FALSE)
transform(
wdat,
xmin = x - width / 2,
xmax = x + width / 2,
width = NULL,
ymin = y - height / 2,
ymax = y + height / 2,
height = NULL
) -> p
p
},
compute_layer = function(self, data, params, layout) {
# msg("Called => StatWaffle::compute_layer()")
# print(str(data, 1))
# print(str(params, 1))
# msg("Done With => StatWaffle::compute_layer()")
data
},
finish_layer = function(self, data, params) {
# msg("Called => StatWaffle::finish_layer()")
# msg("Done With => StatWaffle::finish_layer()")
data
},
compute_panel = function(self, data, scales, ...) {
# msg("Called => StatWaffle::compute_panel()")
# msg("Done With => StatWaffle::compute_panel()")
data
}
)