原始图样：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity") + coord_polar(theta = "y") ## 把柱状图折叠成饼图（极坐标） p
如何去除饼图中心的杂点：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + ## width >= 1 时中心的杂点将消失 coord_polar(theta = "y") p
如何去除饼图旁边的标签：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + coord_polar(theta = "y") + labs(x = "", y = "", title = "") ## 将标签设为空 p
如何去掉左上角多出来的一横线：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + coord_polar(theta = "y") + labs(x = "", y = "", title = "") + theme(axis.ticks = element_blank()) ## 把左上角多出来的“小胡子”去掉 p
如何去掉图例的标题，并将图例放到上面：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + coord_polar(theta = "y") + labs(x = "", y = "", title = "") + theme(axis.ticks = element_blank()) + theme(legend.title = element_blank(), legend.position = "top") ## 将图例标题设为空，并把土方放在上方 p
如何对图例的标签加上百分比：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) myLabel = as.vector(dt$B) ## 转成向量，否则图例的标签可能与实际顺序不一致 myLabel = paste(myLabel, "(", round(dt$A / sum(dt$A) * 100, 2), "%) ", sep = "") ## 用 round() 对结果保留两位小数 p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + coord_polar(theta = "y") + labs(x = "", y = "", title = "") + theme(axis.ticks = element_blank()) + theme(legend.title = element_blank(), legend.position = "top") + scale_fill_discrete(breaks = dt$B, labels = myLabel) ## 将原来的图例标签换成现在的myLabel p
如何让饼图的小块按顺时针从大到小的顺序显示：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) dt = dt[order(dt$A, decreasing = TRUE),] ## 用 order() 让数据框的数据按 A 列数据从大到小排序 myLabel = as.vector(dt$B) myLabel = paste(myLabel, "(", round(dt$A / sum(dt$A) * 100, 2), "%) ", sep = "") p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + coord_polar(theta = "y") + labs(x = "", y = "", title = "") + theme(axis.ticks = element_blank()) + theme(legend.title = element_blank(), legend.position = "top") + scale_fill_discrete(breaks = dt$B, labels = myLabel) p
如何去掉白色外框上的数字：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) dt = dt[order(dt$A, decreasing = TRUE),] ## 用 order() 让数据框的数据按 A 列数据从大到小排序 myLabel = as.vector(dt$B) myLabel = paste(myLabel, "(", round(dt$A / sum(dt$A) * 100, 2), "%) ", sep = "") p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + coord_polar(theta = "y") + labs(x = "", y = "", title = "") + theme(axis.ticks = element_blank()) + theme(legend.title = element_blank(), legend.position = "top") + scale_fill_discrete(breaks = dt$B, labels = myLabel) + theme(axis.text.x = element_blank()) ## 白色的外框即是原柱状图的X轴，把X轴的刻度文字去掉即可 p
如何在图中加百分比：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) dt = dt[order(dt$A, decreasing = TRUE),] myLabel = as.vector(dt$B) myLabel = paste(myLabel, "(", round(dt$A / sum(dt$A) * 100, 2), "%)", sep = "") p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 1) + coord_polar(theta = "y") + labs(x = "", y = "", title = "") + theme(axis.ticks = element_blank()) + theme(legend.title = element_blank(), legend.position = "top") + scale_fill_discrete(breaks = dt$B, labels = myLabel) + theme(axis.text.x = element_blank()) + geom_text(aes(y = A/2 + c(0, cumsum(A)[-length(A)]), x = sum(A)/20, label = myLabel), size = 5) ## 在图中加上百分比：x 调节标签到圆心的距离, y 调节标签的左右位置 p
如何生成饼环：
library(ggplot2) dt = data.frame(A = c(2, 7, 4, 10, 1), B = c('B','A','C','D','E')) dt = dt[order(dt$A, decreasing = TRUE),] myLabel = as.vector(dt$B) myLabel = paste(myLabel, "(", round(dt$A / sum(dt$A) * 100, 2), "%)", sep = "") p = ggplot(dt, aes(x = "", y = A, fill = B)) + geom_bar(stat = "identity", width = 0.3) + ## 当width < 1 时饼图将变成饼环 coord_polar(theta = "y") + theme_bw() + labs(x = "", y = "", title = "") + theme(axis.ticks = element_blank()) + theme(legend.position = "none") + theme(axis.text.x = element_blank()) + geom_text(aes(y = A/2 + c(0, cumsum(A)[-length(A)]), x = sum(A)/24, label = myLabel), size = 5) p
