Bob Rudis
8 years ago
15 changed files with 176 additions and 7 deletions
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#' Bars, rectangles with bases on x-axis but with "identity" as the |
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#' default "stat" |
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#' |
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#' This is an alternative to \code{geom_bar} for making bar charts, |
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#' It uses \code{stat="identity"} which requires you to map a variable to |
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#' the \code{y} aesthetic. There is no option to use another "stat". |
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#' |
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#' @export |
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#' @section Aesthetics: |
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#' \code{geom_col} understands the following aesthetics (required aesthetics |
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#' are in bold): |
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#' \itemize{ |
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#' \item \strong{\code{x}} |
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#' \item \strong{\code{y}} |
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#' \item \code{alpha} |
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#' \item \code{color} |
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#' \item \code{fill} |
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#' \item \code{linetype} |
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#' \item \code{size} |
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#' } |
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#' |
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#' @inheritParams ggplot2::geom_bar |
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#' @param width Bar width. By default, set to 90\% of the resolution of the data. |
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#' @examples |
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#' df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2)) |
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#' ggplot(df, aes(trt, outcome)) + geom_col() |
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geom_col <- function(mapping = NULL, data = NULL, |
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position = "stack", |
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..., |
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width = NULL, |
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na.rm = FALSE, |
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show.legend = NA, |
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inherit.aes = TRUE) { |
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layer( |
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data = data, |
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mapping = mapping, |
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stat = "identity", |
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geom = GeomCol, |
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position = position, |
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show.legend = show.legend, |
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inherit.aes = inherit.aes, |
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params = list( |
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width = width, |
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na.rm = na.rm, |
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... |
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) |
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) |
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} |
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#' @rdname ggalt-ggproto |
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#' @format NULL |
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#' @usage NULL |
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#' @export |
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GeomCol <- ggproto("GeomCol", GeomRect, |
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required_aes = c("x", "y"), |
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setup_data = function(data, params) { |
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data$width <- data$width %||% |
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params$width %||% (resolution(data$x, FALSE) * 0.9) |
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transform(data, |
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ymin = pmin(y, 0), ymax = pmax(y, 0), |
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xmin = x - width / 2, xmax = x + width / 2, width = NULL |
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) |
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}, |
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draw_panel = function(self, data, panel_scales, coord, width = NULL) { |
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# Hack to ensure that width is detected as a parameter |
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ggproto_parent(GeomRect, self)$draw_panel(data, panel_scales, coord) |
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} |
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) |
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% Generated by roxygen2: do not edit by hand |
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% Please edit documentation in R/geom_col.r |
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\name{geom_col} |
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\alias{geom_col} |
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\title{Bars, rectangles with bases on x-axis but with "identity" as the |
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default "stat"} |
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\usage{ |
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geom_col(mapping = NULL, data = NULL, position = "stack", ..., |
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width = NULL, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) |
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} |
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\arguments{ |
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\item{mapping}{Set of aesthetic mappings created by \code{\link{aes}} or |
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\code{\link{aes_}}. If specified and \code{inherit.aes = TRUE} (the |
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default), it is combined with the default mapping at the top level of the |
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plot. You must supply \code{mapping} if there is no plot mapping.} |
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\item{data}{The data to be displayed in this layer. There are three |
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options: |
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If \code{NULL}, the default, the data is inherited from the plot |
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data as specified in the call to \code{\link{ggplot}}. |
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A \code{data.frame}, or other object, will override the plot |
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data. All objects will be fortified to produce a data frame. See |
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\code{\link{fortify}} for which variables will be created. |
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A \code{function} will be called with a single argument, |
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the plot data. The return value must be a \code{data.frame.}, and |
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will be used as the layer data.} |
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\item{position}{Position adjustment, either as a string, or the result of |
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a call to a position adjustment function.} |
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\item{...}{other arguments passed on to \code{\link{layer}}. These are |
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often aesthetics, used to set an aesthetic to a fixed value, like |
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\code{color = "red"} or \code{size = 3}. They may also be parameters |
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to the paired geom/stat.} |
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\item{width}{Bar width. By default, set to 90\% of the resolution of the data.} |
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\item{na.rm}{If \code{FALSE} (the default), removes missing values with |
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a warning. If \code{TRUE} silently removes missing values.} |
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\item{show.legend}{logical. Should this layer be included in the legends? |
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\code{NA}, the default, includes if any aesthetics are mapped. |
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\code{FALSE} never includes, and \code{TRUE} always includes.} |
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\item{inherit.aes}{If \code{FALSE}, overrides the default aesthetics, |
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rather than combining with them. This is most useful for helper functions |
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that define both data and aesthetics and shouldn't inherit behaviour from |
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the default plot specification, e.g. \code{\link{borders}}.} |
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} |
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\description{ |
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This is an alternative to \code{geom_bar} for making bar charts, |
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It uses \code{stat="identity"} which requires you to map a variable to |
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the \code{y} aesthetic. There is no option to use another "stat". |
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} |
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\section{Aesthetics}{ |
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|
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\code{geom_col} understands the following aesthetics (required aesthetics |
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are in bold): |
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\itemize{ |
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\item \strong{\code{x}} |
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\item \strong{\code{y}} |
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\item \code{alpha} |
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\item \code{color} |
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\item \code{fill} |
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\item \code{linetype} |
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\item \code{size} |
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} |
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} |
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\examples{ |
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df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2)) |
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ggplot(df, aes(trt, outcome)) + geom_col() |
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} |
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