Create Chicklet (Rounded Segmented Column) Charts https://cinc.rud.is/web/packages/ggchicklet/
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 % Generated by roxygen2: do not edit by hand % Please edit documentation in R/geom-chicklet.R \docType{data} \name{geom_chicklet} \alias{geom_chicklet} \alias{GeomChicklet} \title{Chicklet (rounded segmented column) charts} \format{An object of class \code{GeomChicklet} (inherits from \code{GeomRrect}, \code{Geom}, \code{ggproto}, \code{gg}) of length 7.} \usage{ geom_chicklet(  mapping = NULL,  data = NULL,  position = ggplot2::position_stack(reverse = TRUE),  radius = grid::unit(3, "pt"),  ...,  width = NULL,  na.rm = FALSE,  show.legend = NA,  inherit.aes = TRUE )   GeomChicklet } \arguments{ \item{mapping}{Set of aesthetic mappings created by \code{\link[ggplot2:aes]{aes()}} or \code{\link[ggplot2:aes_]{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{\link[ggplot2:ggplot]{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{\link[ggplot2:fortify]{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. A \code{function} can be created from a \code{formula} (e.g. \code{~ head(.x, 10)}).}   \item{position}{Position adjustment, either as a string, or the result of a call to a position adjustment function.}   \item{radius}{corner radius (default 3pt)}   \item{...}{Other arguments passed on to \code{\link[ggplot2:layer]{layer()}}. These are often aesthetics, used to set an aesthetic to a fixed value, like \code{colour = "red"} or \code{size = 3}. They may also be parameters to the paired geom/stat.}   \item{width}{Bar width. By default, set to 90\% of the resolution of the data.} \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{\link[ggplot2:borders]{borders()}}.} } \description{ This geom behaves much like \code{\link[ggplot2:geom_col]{ggplot2::geom_col()}} but provides the option to set a corner radius to turn sharp-edged bars into rounded rectangles; it also sets some sane defaults for making chicklet charts. } \details{ \if{html}{ A sample of the output from \code{geom_chicklet()}: \figure{README-nyt-1.png}{options: width="100\%" alt="Figure: README-nyt-1.png"} } \if{latex}{ A sample of the output from \code{geom_chicklet()}: \figure{README-nyt-1.png}{options: width=10cm} } } \note{ the chicklet/segment stack positions are default set to be reversed (i.e. left-to-right/bottom-to-top == earliest to latest order). } \section{Aesthetics}{ \code{geom_chicklet()} understands the following aesthetics: \itemize{ \item \code{x} \item \code{y} \item \code{alpha} \item \code{colour} \item \code{fill} \item \code{group} \item \code{linetype} \item \code{size} } Use both \code{fill} and \code{group} when you want a fill colour per-segment but want to order the segments by another column (as in the Examples). } \examples{ library(ggplot2) data("debates2019") # set the speaker order spkr_ordr <- aggregate(elapsed ~ speaker, data = debates2019, sum) spkr_ordr <- spkr_ordr[order(spkr_ordr[["elapsed"]]),] debates2019$speaker <- factor(debates2019$speaker, spkr_ordr\$speaker) ggplot(debates2019) +  # use 'group' to control left-to-right order  geom_chicklet(aes(speaker, elapsed, group = timestamp, fill = topic)) +  scale_y_continuous(expand = c(0, 0.01), position = "right") +  coord_flip() +  labs(x = NULL, y = "Minutes Spoken", fill = NULL) +  theme_minimal() +  theme(panel.grid.major.y = element_blank()) +  theme(legend.position = "bottom") } \keyword{datasets}