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picto

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boB Rudis 5 years ago
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  1. 5
      NAMESPACE
  2. 2
      R/fontawesome.R
  3. 233
      R/geom-pictogram.R
  4. 3
      R/geom-waffle.R
  5. 91
      R/saved-sw.R
  6. 142
      R/stat-pictogram.R
  7. 32
      R/stat-waffle.R
  8. 11
      R/waffle.R
  9. 2
      README.Rmd
  10. 90
      man/geom_pictogram.Rd
  11. 10
      man/waffle.Rd

5
NAMESPACE

@ -1,12 +1,17 @@
# Generated by roxygen2: do not edit by hand
export(GeomPictogram)
export(GeomWaffle)
export(StatPictogram)
export(StatWaffle)
export(draw_key_pictogram)
export(fa_grep)
export(fa_list)
export(geom_pictogram)
export(geom_waffle)
export(install_fa_fonts)
export(iron)
export(stat_pictogram)
export(stat_waffle)
export(theme_enhance_waffle)
export(waffle)

2
R/fontawesome.R

@ -47,7 +47,7 @@
vb,
sprintf('%s width="24" height="24"', vb)
) -> fdf[["glyph"]]
DT::datatable(fdf, escape = FALSE)
DT::datatable(fdf[,c("name", "type", "glyph")], escape = FALSE)
}
#' Search Font Awesome glyph names for a pattern

233
R/geom-pictogram.R

@ -0,0 +1,233 @@
#' @export
draw_key_pictogram <- function(data, params, size) {
# message("Called draw_key_pictogram()")
# print(str(data, 1))
# print(str(params, 1))
# print(str(size, 1))
# return(draw_key_text(data, params, size))
data[["label"]] <- .fa_unicode[.fa_unicode[["name"]] %in% data[["fa_glyph"]], "unicode"]
fat <- .fa_unicode[.fa_unicode[["name"]] %in% data[["fa_glyph"]], "type"]
ftrans <- c(solid = "FontAwesome5Free-Solid", brands = "FontAwesome5Brands-Regular")
data[["family"]] <- ftrans[fat]
data[["size"]] <- data[["size"]] * 2
grid::textGrob(
data$label, 0.5, 0.25,
rot = data$angle %||% 0,
gp = grid::gpar(
col = alpha(data$colour %||% data$fill %||% "black", data$alpha),
fontfamily = data$family %||% "",
fontface = data$fontface %||% 1,
fontsize = (data$size %||% 3.88) * .pt
)
)
}
#' Isotype pictogram "waffle" charts
#'
#' There are two special/critical `aes()` mappings:
#' - `colour` (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 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]),
#' values = 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 = values)) +
#' geom_pictogram() +
#' facet_wrap(~fct) +
#' coord_equal()
geom_pictogram <- function(
mapping = NULL, data = NULL,
n_rows = 10, flip = FALSE, make_proportional = FALSE,
na.rm = TRUE, show.legend = NA, inherit.aes = TRUE, ...) {
# message("Called geom_pictogram()")
ggplot2::layer(
data = data,
mapping = mapping,
stat = "pictogram",
geom = GeomPictogram,
position = "identity",
show.legend = show.legend,
inherit.aes = inherit.aes,
check.aes = FALSE,
params = list(
na.rm = na.rm,
n_rows = n_rows,
flip = flip,
make_proportional = make_proportional,
use = "colour",
...
)
)
}
#' @rdname geom_pictogram
#' @export
GeomPictogram <- ggplot2::ggproto(
`_class` = "GeomPictogram",
`_inherit` = ggplot2::Geom,
default_aes = ggplot2::aes(
fa_glyph = "circle", fa_type = "solid",
fill = NA, colour = "#b2b2b2", alpha = NA,
size = 2, linetype = 1, width = NA, height = NA
),
required_aes = c("x", "y", "values", "fa_glyph", "fa_type"),
extra_params = c("na.rm", "width", "height", "flip", "use"),
setup_data = function(data, params) {
# message("Called GeomPictogram::setup_data()")
# print(str(data, 1))
waf.dat <- data
# swap x and y values if flip is TRUE
if (params$flip) {
waf.dat$x_temp <- waf.dat$x
waf.dat$x <- waf.dat$y
waf.dat$y <- waf.dat$x_temp
waf.dat$x_temp <- NULL
}
# reduce all values by 0.5
# this allows for axis ticks to align _between_ square rows/cols
# rather than in the middle of a row/col
waf.dat$x <- waf.dat$x - 0.5
waf.dat$y <- waf.dat$y - 0.5
waf.dat$width <- waf.dat$width %||% params$width %||% ggplot2::resolution(waf.dat$x, FALSE)
waf.dat$height <- waf.dat$height %||% params$height %||% ggplot2::resolution(waf.dat$y, FALSE)
transform(
waf.dat,
xmin = x - width / 2,
xmax = x + width / 2,
width = NULL,
ymin = y - height / 2,
ymax = y + height / 2,
height = NULL
) -> xdat
# print(str(xdat, 1))
xdat
},
draw_group = function(self, data, panel_params, coord,
n_rows = 10, make_proportional = FALSE) {
# message("Called GeomPictogram::draw_group()")
# message("Called GEOM draw_group()")
tile_data <- data
# tile_data$size <- border_size
# tile_data$colour <- border_col
coord <- ggplot2::coord_equal()
# gg <- gg + geom_tile(
# color = "#00000000", fill = "#00000000", size = size,
# alpha = 0, show.legend = FALSE
# )
gtdat <- tile_data
gtdat[["colour"]] <- "#00000000"
gtdat[["color"]] <- "#00000000"
gtdat[["fill"]] <- "#00000000"
g_pgdat <<- tile_data
self$default_aes[["fa_glyph"]] <- tile_data[["fa_glyph"]][[1]]
pgdat <- tile_data
pgdat[["label"]] <- .fa_unicode[.fa_unicode[["name"]] %in% pgdat[["fa_glyph"]], "unicode"]
fat <- .fa_unicode[.fa_unicode[["name"]] %in% pgdat[["fa_glyph"]], "type"]
ftrans <- c(solid = "FontAwesome5Free-Solid", brands = "FontAwesome5Brands-Regular")
pgdat[["family"]] <- ftrans[fat]
pgdat[["size"]] <- pgdat[["size"]] * 2
pgdat[["angle"]] = 0
pgdat[["hjust"]] <- 0.5
pgdat[["vjust"]] <- 0.5
pgdat[["fontface"]] <- 1
pgdat[["lineheight"]] <- 1
# print(str(pgdat, 1))
# gg <- gg + geom_text(
# aes(color = value, label = fontlab),
# family = glyph_font_family,
# size = glyph_size,
# show.legend = FALSE
# )
grid::gList(
# GeomTile$draw_panel(gtdat, panel_params, coord),
GeomText$draw_panel(pgdat, panel_params, coord)
) -> grobs
ggname("geom_pictogram", grid::grobTree(children = grobs))
},
aesthetics = function(self) {
# message("Called GeomPictogram::aesthetics()")
c(union(self$required_aes, names(self$default_aes)), self$optional_aes, "group")
},
draw_key = draw_key_pictogram
)

3
R/geom-waffle.R

@ -72,6 +72,7 @@ geom_waffle <- function(
n_rows = n_rows,
flip = flip,
make_proportional = make_proportional,
use = "fill",
...
)
)
@ -92,7 +93,7 @@ GeomWaffle <- ggplot2::ggproto(
required_aes = c("x", "y"),
extra_params = c("na.rm", "width", "height", "flip"),
extra_params = c("na.rm", "width", "height", "flip", "use"),
setup_data = function(data, params) {

91
R/saved-sw.R

@ -0,0 +1,91 @@
# # @rdname geom_waffle
# # @export
# stat_waffle<- function(mapping = NULL, data = NULL,
# n_rows = 10, make_proportional = FALSE,
# na.rm = NA, show.legend = NA,
# inherit.aes = TRUE, ...) {
#
# layer(
# stat = StatWaffle,
# data = data,
# mapping = mapping,
# geom = "waffle",
# position = "identity",
# show.legend = show.legend,
# inherit.aes = inherit.aes,
# params = list(
# na.rm = na.rm,
# n_rows = n_rows,
# make_proportional = make_proportional,
# ...
# )
# )
# }
#
# # @rdname geom_waffle
# # @export
# StatWaffle <- ggplot2::ggproto(
# `_class` = "StatWaffle",
# `_inherit` = ggplot2::Stat,
#
# required_aes = c("fill", "values"),
#
# compute_layer = function(self, data, params, panels) {
#
# if (inherits(data[["fill"]], "factor")) {
# flvls <- levels(data[["fill"]])
# } else {
# flvls <- levels(factor(data[["fill"]]))
# }
#
# p <- split(data, data$PANEL)
#
# lapply(p, function(.x) {
#
# parts_vec <- unlist(sapply(1:length(.x[["fill"]]), function(i) {
# rep(as.character(.x[["fill"]][i]), .x[["values"]][i])
# }))
#
# pgrp_vec <- unlist(sapply(1:length(.x[["fill"]]), function(i) {
# rep(.x$group, .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)))
#
# # tdf$parts <- parts_vec
# tdf[["values"]] <- NA
# tdf[["fill"]] <- parts_vec
# tdf[["PANEL"]] <- .x[["PANEL"]][1]
# tdf[["group"]] <- 1:nrow(tdf)
#
# tdf <- tdf[sapply(tdf[["fill"]], function(x) !is.na(x)),]
#
# }) -> p
#
# p <- plyr::rbind.fill(p)
# p[["fill"]] <- factor(p[["fill"]], levels=flvls)
#
# # print(str(p))
#
# p
#
# },
#
# compute_panel = function(self, data, scales, na.rm = FALSE,
# n_rows = 10, make_proportional = FALSE) {
#
# # message("Called STAT compute_panel()")
#
# ggproto_parent(Stat, self)$compute_panel(data, scales,
# n_rows = 10,
# make_proportional = FALSE)
#
# }
#
# )

142
R/stat-pictogram.R

@ -0,0 +1,142 @@
#' @rdname geom_pictogram
#' @export
stat_pictogram <- function(mapping = NULL, data = NULL,
n_rows = 10, make_proportional = FALSE,
na.rm = NA, show.legend = NA,
inherit.aes = TRUE, ...) {
layer(
stat = StatPictogram,
data = data,
mapping = mapping,
geom = "pictogram",
position = "identity",
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
na.rm = na.rm,
n_rows = n_rows,
make_proportional = make_proportional,
...
)
)
}
#' @rdname geom_pictogram
#' @export
StatPictogram <- ggplot2::ggproto(
`_class` = "StatPictogram",
`_inherit` = ggplot2::Stat,
required_aes = c("colour", "values", "fa_type", "fa_glyph"),
extra_params = c("na.rm", "width", "height", "flip", "use"),
setup_params = function(data, params) {
# message("Called StatPictogram::setup_params()")
params
},
setup_data = function(data, params) {
# message("Called StatPictogram::setup_data()")
# print(str(data, 1))
data
},
compute_layer = function(self, data, params, panels) {
# message("Called StatPictogram::compute_layer()")
# print(str(data, 1))
use <- params[["use"]]
if (inherits(data[[use]], "factor")) {
flvls <- levels(data[[use]])
} else {
flvls <- levels(factor(data[[use]]))
}
tr1 <- data[c(use, "fa_glyph", "fa_type")]
tr1 <- tr1[!duplicated(tr1), ]
gtrans <- tr1[, "fa_glyph"]
names(gtrans) <- tr1[, use]
ttrans <- tr1[, "fa_type"]
names(ttrans) <- tr1[, use]
# print(str(tr1, 1))
p <- split(data, data$PANEL)
lapply(p, function(.x) {
parts_vec <- unlist(sapply(1:length(.x[[use]]), function(i) {
rep(as.character(.x[[use]][i]), .x[["values"]][i])
}))
pgrp_vec <- unlist(sapply(1:length(.x[[use]]), function(i) {
rep(.x$group, .x[[use]][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)))
# tdf$parts <- parts_vec
tdf[["values"]] <- parts_vec
tdf[[use]] <- parts_vec
tdf[["fa_glyph"]] <- gtrans[tdf[[use]]]
tdf[["fa_type"]] <- ttrans[tdf[[use]]]
tdf[["PANEL"]] <- .x[["PANEL"]][1]
tdf[["group"]] <- 1:nrow(tdf)
tdf <- tdf[sapply(tdf[[use]], function(x) !is.na(x)),]
tdf
}) -> p
p <- plyr::rbind.fill(p)
p[[use]] <- factor(p[[use]], levels=flvls)
# print(str(p, 1))
p
},
finish_layer = function(self, data, params) {
# message("Called StatPictogram::finish_layer()")
self$default_aes[["fa_glyph"]] <- "square"
# print(str(data,1))
# print(str(params, 1))
data
},
compute_panel = function(self, data, scales, na.rm = FALSE,
n_rows = 10, make_proportional = FALSE) {
# message("Called StatPictogram::compute_panel()")
ggproto_parent(Stat, self)$compute_panel(
data, scales,
n_rows = n_rows,
make_proportional = make_proportional,
na.rm = na.rm
)
},
aesthetics = function(self) {
# message("Called StatPictogram::aesthetics()")
c(union(self$required_aes, names(self$default_aes)), "group")
}
)

32
R/stat-waffle.R

@ -30,24 +30,28 @@ StatWaffle <- ggplot2::ggproto(
required_aes = c("fill", "values"),
extra_params = c("na.rm", "width", "height", "flip", "use"),
compute_layer = function(self, data, params, panels) {
if (inherits(data[["fill"]], "factor")) {
flvls <- levels(data[["fill"]])
use <- params[["use"]]
if (inherits(data[[use]], "factor")) {
flvls <- levels(data[[use]])
} else {
flvls <- levels(factor(data[["fill"]]))
flvls <- levels(factor(data[[use]]))
}
p <- split(data, data$PANEL)
lapply(p, function(.x) {
parts_vec <- unlist(sapply(1:length(.x[["fill"]]), function(i) {
rep(as.character(.x[["fill"]][i]), .x[["values"]][i])
parts_vec <- unlist(sapply(1:length(.x[[use]]), function(i) {
rep(as.character(.x[[use]][i]), .x[["values"]][i])
}))
pgrp_vec <- unlist(sapply(1:length(.x[["fill"]]), function(i) {
rep(.x$group, .x[["values"]][i])
pgrp_vec <- unlist(sapply(1:length(.x[[use]]), function(i) {
rep(.x$group, .x[[use]][i])
}))
expand.grid(
@ -60,16 +64,16 @@ StatWaffle <- ggplot2::ggproto(
# tdf$parts <- parts_vec
tdf[["values"]] <- NA
tdf[["fill"]] <- parts_vec
tdf[[use]] <- parts_vec
tdf[["PANEL"]] <- .x[["PANEL"]][1]
tdf[["group"]] <- 1:nrow(tdf)
tdf <- tdf[sapply(tdf[["fill"]], function(x) !is.na(x)),]
tdf <- tdf[sapply(tdf[[use]], function(x) !is.na(x)),]
}) -> p
p <- plyr::rbind.fill(p)
p[["fill"]] <- factor(p[["fill"]], levels=flvls)
p[[use]] <- factor(p[[use]], levels=flvls)
# print(str(p))
@ -82,9 +86,11 @@ StatWaffle <- ggplot2::ggproto(
# message("Called STAT compute_panel()")
ggproto_parent(Stat, self)$compute_panel(data, scales,
n_rows = 10,
make_proportional = FALSE)
ggproto_parent(Stat, self)$compute_panel(
data, scales,
n_rows = 10,
make_proportional = FALSE
)
}

11
R/waffle.R

@ -23,17 +23,16 @@
#' If you specify a string (vs `FALSE`) to `use_glyph` the function
#' will map the input to a Font Awesome glyph name and use that glyph for the
#' tile instead of a block (making it more like an isotype pictogram than a
#' waffle chart). You'll need to install FontAwesome and use
#' the `extrafont` package (`https://github.com/wch/extrafont`) to
#' be able to use the FontAwesome glyphs. Sizing is also up to the user since
#' waffle chart). You'll need to install Font Awesome 5 and use
#' the [`extrafont` package](`https://github.com/wch/extrafont`) to
#' be able to use Font Awesome 5 glyphs. Sizing is also up to the user since
#' fonts do not automatically scale with graphic resize.
#'
#' Glyph idea inspired by Ruben C. Arslan (@@_r_c_a)
#'
#'
#' @md
#' @note You MUST use the FontAwesome font bundled with the package. It
#' lives in `system.file("fonts", package="waffle")`.
#' @note You MUST use the Font Awesome 5 fonts bundled with the package.
#' See [install_fa_fonts()].
#' @param parts named vector of values or a data frame to use for the chart
#' @param rows number of rows of blocks
#' @param keep keep factor levels (i.e. for consistent legends across waffle plots)

2
README.Rmd

@ -181,7 +181,7 @@ waffle(
### Replicating an old favourite
![](http://graphics8.nytimes.com/images/2008/07/20/business/20debtgraphic.jpg)
![](https://graphics8.nytimes.com/images/2008/07/20/business/20debtgraphic.jpg)
Via: <https://www.nytimes.com/2008/07/20/business/20debt.html>

90
man/geom_pictogram.Rd

@ -0,0 +1,90 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/geom-pictogram.R, R/stat-pictogram.R
\docType{data}
\name{geom_pictogram}
\alias{geom_pictogram}
\alias{GeomPictogram}
\alias{stat_pictogram}
\alias{StatPictogram}
\title{Isotype pictogram "waffle" charts}
\format{An object of class \code{GeomPictogram} (inherits from \code{Geom}, \code{ggproto}, \code{gg}) of length 8.}
\usage{
geom_pictogram(mapping = NULL, data = NULL, n_rows = 10,
flip = FALSE, make_proportional = FALSE, fa_key = NA,
na.rm = TRUE, show.legend = NA, inherit.aes = TRUE, ...)
GeomPictogram
stat_pictogram(mapping = NULL, data = NULL, n_rows = 10,
make_proportional = FALSE, na.rm = NA, show.legend = NA,
fa_key = NA, inherit.aes = TRUE, ...)
StatPictogram
}
\arguments{
\item{mapping}{Set of aesthetic mappings created by \code{aes()} or
\code{aes_()}. If specified and \code{inherit.aes = TRUE} (the
default), it is combined with the default mapping at the top level of the
plot. You must supply \code{mapping} if there is no plot mapping.}
\item{data}{The data to be displayed in this layer. There are three
options:
If \code{NULL}, the default, the data is inherited from the plot
data as specified in the call to \code{ggplot()}.
A \code{data.frame}, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
\code{fortify()} for which variables will be created.
A \code{function} will be called with a single argument,
the plot data. The return value must be a \code{data.frame.}, and
will be used as the layer data.}
\item{n_rows}{how many rows should there be in the waffle chart? default is 10}
\item{flip}{If \code{TRUE}, flip x and y coords. n_rows then becomes n_cols.
Useful to achieve waffle column chart effect. Defaults is \code{FALSE}.}
\item{make_proportional}{compute proportions from the raw values? (i.e. each
value \code{n} will be replaced with \code{n}/\code{sum(n)}); default is \code{FALSE}.}
\item{na.rm}{If \code{FALSE}, the default, missing values are removed with
a warning. If \code{TRUE}, missing values are silently removed.}
\item{show.legend}{logical. Should this layer be included in the legends?
\code{NA}, the default, includes if any aesthetics are mapped.
\code{FALSE} never includes, and \code{TRUE} always includes.
It can also be a named logical vector to finely select the aesthetics to
display.}
\item{inherit.aes}{If \code{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. \code{borders()}.}
\item{...}{other arguments passed on to \code{layer()}. These are
often aesthetics, used to set an aesthetic to a fixed value, like
\code{color = "red"} or \code{size = 3}. They may also be parameters
to the paired geom/stat.}
}
\description{
There are two special/critical \code{aes()} mappings:
\itemize{
\item \code{colour} (so the geom knows which column to map the country names/abbrevs to)
\item \code{values} (which column you're mapping the filling for the squares with)
}
}
\examples{
data.frame(
parts = factor(rep(month.abb[1:3], 3), levels=month.abb[1:3]),
values = 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 = values)) +
geom_pictogram() +
facet_wrap(~fct) +
coord_equal()
}
\keyword{datasets}

10
man/waffle.Rd

@ -84,16 +84,16 @@ exporting to another program for use/display.
If you specify a string (vs \code{FALSE}) to \code{use_glyph} the function
will map the input to a Font Awesome glyph name and use that glyph for the
tile instead of a block (making it more like an isotype pictogram than a
waffle chart). You'll need to install FontAwesome and use
the \code{extrafont} package (\code{https://github.com/wch/extrafont}) to
be able to use the FontAwesome glyphs. Sizing is also up to the user since
waffle chart). You'll need to install Font Awesome 5 and use
the \href{`https://github.com/wch/extrafont`}{extrafont package} to
be able to use Font Awesome 5 glyphs. Sizing is also up to the user since
fonts do not automatically scale with graphic resize.
Glyph idea inspired by Ruben C. Arslan (@_r_c_a)
}
\note{
You MUST use the FontAwesome font bundled with the package. It
lives in \code{system.file("fonts", package="waffle")}.
You MUST use the Font Awesome 5 fonts bundled with the package.
See \code{\link[=install_fa_fonts]{install_fa_fonts()}}.
}
\examples{
parts <- c(80, 30, 20, 10)

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