R语言—帕累托图

本文的主要目的有两个一个是学习如何在R中绘制帕累托图,另一个是如何绘制双坐标图,其中前三个例子是用绘制双坐标的方式绘制帕累托图的,其余为直接生成的帕累托图


@ 不用包


par(mar=c(5,5,4,5)+0.1)
bar <- barplot(absolute,ylab="总数",col="skyblue",col.axis="skyblue",col.lab="skyblue")
mtext(LETTERS[1:8],side=1,line=1,at=bar,col="black")
#mtext(" ",side=1,line=3,col="black")
par(new=T)
plot(bar,cum_per,axes=F,xlab="",ylab="",col="red",type="b")
axis(4,col="red",col.ticks="red",col.axis="red")
mtext("累计百分比%",side=4,line=3,col="red")
title(main = '帕累托图')




R语言—帕累托图


@ plotix


library(plotrix)
type <- 1:8
absolute <- c(15,18,23,28,18,9,7,13)
cum_per <- cumsum(absolute)/sum(absolute)
twoord.plot(lx = type, ly = absolute, rx = type, ry = cum_per, type=c('bar','l'),
            lcol = 'skyblue', rcol = 'red', ylab = '总数',
            rylab = '累计百分比%', main = '帕累托图', xtickpos=type, 
            xticklab = LETTERS[1:8])

R语言—帕累托图
@ TeachingDemos包


par(mar=c(5,5,4,5)+0.1)
library(TeachingDemos)
bar <- barplot(absolute,ylab="总数",col="skyblue",col.axis="skyblue",col.lab="skyblue")
updateusr(1:2,range(min(absolute),max(absolute)),1:2,range(min(cum_per),
                                                          max(cum_per)))
lines(bar,cum_per,type="b",col="red")
axis(4,col="red",col.ticks="red",col.axis="red")
mtext("累计百分比%",side=4,line=3,col="red")
mtext(LETTERS[1:8],side=1,line=1,at=bar,col="black")
title(main = '帕累托图')


R语言—帕累托图
@ qcc包


library(qcc)
absolute <- c(15,18,23,28,18,9,7,13)
names(absolute) <- LETTERS[1:8]
pareto.chart(absolute, ylab = "总数",ylab2 = "累计百分比%",
             main='帕累托图')

R语言—帕累托图
@ qualityTools包


library(qualityTools)
#artifical defects dataset
absolute <- c(15,18,23,28,18,9,7,13)
names(absolute) <- LETTERS[1:8]
cum_per <- cumsum(absolute)/sum(absolute)
paretoChart(absolute,cum_per,main='帕累托图',ylab = "总数")


R语言—帕累托图
@ qicharts包


library(qicharts)
x <- rep(LETTERS[1:9], c(256, 128, 64, 32, 16, 8, 4, 2, 1))
paretochart(x)


R语言—帕累托图

@ fdth


library(fdth)
x <- rep(LETTERS[1:9], c(256, 128, 64, 32, 16, 8, 4, 2, 1))
dc <- fdt_cat(x)
plot(dc,type='pa',col=c('skyblue','red'))  



R语言—帕累托图文章选摘:EasyCharts公众号

R语言—帕累托图