「写在前面」
在科研数据分析中我们会重复地绘制一些图形，如果代码管理不当经常就会忘记之前绘图的代码。于是我计划开发一个 R 包（Biorplot），用来管理自己 R 语言绘图的代码。本系列文章用于记录 Biorplot 包开发日志。
相关链接
相关代码和文档都存放在了 Biorplot GitHub 仓库：
https://github.com/zhenghu159/Biorplot
欢迎大家 Follow 我的 GitHub 账号：
https://github.com/zhenghu159
我会不定期更新生物信息学相关工具和学习资料。如果您有任何问题和建议，或者想贡献自己的代码，请在我的 GitHub 上留言。
介绍
柱状图，常用于使用矩形的长度作为变量来比较两个或多个值（在不同时间或不同条件下）。它通常用于分析较小的数据集。
在 Biorplot 中，我封装了 Bior_BarPlot() 函数来实现柱状图的绘制。
基础柱状图
绘制一个基础的柱状图如下：
绘图代码：
df <- data.frame(
x = c("A", "B", "C"),
y = c(3, 2, 1))
Bior_BarPlot(df, "x", "y", fill = "steelblue", color = "steelblue")堆叠柱状图
绘制堆叠柱状图并添加文本标签：
df <- data.frame(
x = rep(c('sample1','sample2','sample3','sample4'), each=2),
y = c(20,16,29,16,14,11,22,21),
type = rep(c('gene1','gene2'), 4),
label = c(20,16,29,16,14,11,"","")
)
col <- c("#AEC7E8FF","#FFBB78FF")
Bior_BarPlot(df, "x", "y", fill = "type", color = "type", label = df$label,
palette = col, lab.pos = "in") +
theme(legend.position = "right", legend.key.size=unit(1, "cm"))改变 position 绘制交错柱状图：
Bior_BarPlot(df, "x", "y", fill = "type", color = "type", palette = col,
label = TRUE, position = position_dodge(0.9))源码解析
Biorplot::Bior_LinePlot() 函数主要继承了 *ggpubr::ggbarplot()*函数。
源码：
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#' Bar plot
#' @description Create a stacked barplot.
#'
#' @importFrom ggpubr ggbarplot position_stack() theme_pubr()
#' @import ggplot2
#'
#' @inheritParams ggpubr::ggbarplot
#'
#' @return A ggplot object
#' @export
#'
#' @examples
#' # Examples 1
#' df <- data.frame(
#' x = c("A", "B", "C"),
#' y = c(3, 2, 1))
#' Bior_BarPlot(df, "x", "y", fill = "steelblue", color = "steelblue")
#'
#' # Examples 2
#' df <- data.frame(
#' x = rep(c('sample1','sample2','sample3','sample4'), each=2),
#' y = c(20,16,29,16,14,11,22,21),
#' type = rep(c('gene1','gene2'), 4),
#' label = c(20,16,29,16,14,11,"","")
#' )
#' col <- c("#AEC7E8FF","#FFBB78FF")
#' Bior_BarPlot(df, "x", "y", fill = "type", color = "type", label = df$label,
#' palette = col, lab.pos = "in") +
#' theme(legend.position = "right", legend.key.size=unit(1, "cm"))
#'
#' # Examples 3
#' Bior_BarPlot(df, "x", "y", fill = "type", color = "type", palette = col,
#' label = TRUE, position = position_dodge(0.9))
#'
Bior_BarPlot <- function(data, x, y, combine = FALSE, merge = FALSE,
color = "black", fill = "white", palette = NULL,
size = NULL, width = NULL,
title = NULL, xlab = NULL, ylab = NULL,
facet.by = NULL, panel.labs = NULL, short.panel.labs = TRUE,
select = NULL, remove = NULL, order = NULL,
add = "none", add.params = list(), error.plot = "errorbar",
label = FALSE, lab.col = "black", lab.size = 4,
lab.pos = c("out", "in"), lab.vjust = NULL, lab.hjust = NULL,
lab.nb.digits = NULL,
sort.val = c("none", "desc", "asc"), sort.by.groups = TRUE,
top = Inf,
position = position_stack(),
ggtheme = theme_pubr(),
...)
{
# Default options
.opts <- list(
data = data, x = x, y = y, combine = combine, merge = merge,
color = color, fill = fill, palette = palette,
size = size, width = width,
title = title, xlab = xlab, ylab = ylab,
facet.by = facet.by, panel.labs = panel.labs, short.panel.labs = short.panel.labs,
select = select , remove = remove, order = order,
add = add, add.params = add.params, error.plot = error.plot,
label = label, lab.col = lab.col, lab.size = lab.size,
lab.pos = lab.pos, lab.vjust = lab.vjust, lab.hjust = lab.hjust,
lab.nb.digits = lab.nb.digits,
sort.val = sort.val, sort.by.groups = sort.by.groups, top = top,
position = position, ggtheme = ggtheme, ...)
p <- do.call(ggpubr::ggbarplot, .opts)
return(p)
}
#%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%「结束」
注：本文为个人学习笔记，仅供大家参考学习，不得用于任何商业目的。如有侵权，请联系作者删除。
本文由mdnice多平台发布