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我一直在努力研究如何使用 ggplot2 包在 R 中制作帕累托图。在许多情况下,当制作条形图或直方图时,我们希望项目按 X 轴排序。在帕累托图中,我们希望项目按 Y 轴上的值降序排列。有没有办法让 ggplot 绘制按 Y 轴值排序的项目?我尝试先对数据框进行排序,但似乎 ggplot 重新排序了它们。

例子:

val <- read.csv("http://www.cerebralmastication.com/wp-content/uploads/2009/11/val.txt")
val<-with(val, val[order(-Value), ])
p <- ggplot(val)
p + geom_bar(aes(State, Value, fill=variable), stat = "identity", position="dodge") + scale_fill_brewer(palette = "Set1")

数据框 val 已排序,但输出如下所示:

替代文字
(来源:脑咀嚼网

Hadley 正确地指出,这会产生更好的图形来显示实际值与预测值:

ggplot(val, aes(State, Value)) + geom_bar(stat = "identity", subset = .(variable == "estimate"), fill = "grey70") + geom_crossbar(aes(ymin = Value, ymax = Value), subset = .(variable == "actual"))

返回:

替代文字
(来源:脑咀嚼网

但它仍然不是帕累托图。有小费吗?

4

8 回答 8

23

对数据进行子集化和排序;

valact <- subset(val, variable=='actual')
valsort <- valact[ order(-valact[,"Value"]),]

从那里开始,它只是一个标准boxplot(),顶部有一个非常手动的累积功能:

op <- par(mar=c(3,3,3,3)) 
bp <- barplot(valsort [ , "Value"], ylab="", xlab="", ylim=c(0,1),    
              names.arg=as.character(valsort[,"State"]), main="How's that?") 
lines(bp, cumsum(valsort[,"Value"])/sum(valsort[,"Value"]), 
      ylim=c(0,1.05), col='red') 
axis(4)
box() 
par(op)

应该是这样的

替代文字
(来源:eddelbuettel.com

它甚至不需要过度绘制技巧,因为它可以lines()愉快地注释初始情节。

于 2009-11-14T21:20:44.070 回答
16

ggplot2 中的条形按因子中水平的顺序排列。

val$State <- with(val, factor(val$State, levels=val[order(-Value), ]$State))
于 2009-11-15T00:37:09.690 回答
7

ggplot2中的传统帕累托图......

在阅读 Cano, EL, Moguerza, JM 和 Redchuk, A. (2012) 之后开发。六西格码与 R. (G. Robert, K. Hornik, & G. Parmigiani, Eds.) Springer。

library(ggplot2);library(grid)

counts  <- c(80, 27, 66, 94, 33)
defects <- c("price code", "schedule date", "supplier code", "contact num.", "part num.")
dat <- data.frame(count = counts, defect = defects, stringsAsFactors=FALSE )
dat <- dat[order(dat$count, decreasing=TRUE),]
dat$defect <- factor(dat$defect, levels=dat$defect)
dat$cum <- cumsum(dat$count)
count.sum<-sum(dat$count)
dat$cum_perc<-100*dat$cum/count.sum

p1<-ggplot(dat, aes(x=defect, y=cum_perc, group=1))
p1<-p1 + geom_point(aes(colour=defect), size=4) + geom_path()

p1<-p1+ ggtitle('Pareto Chart')+ theme(axis.ticks.x = element_blank(), axis.title.x = element_blank(),axis.text.x = element_blank())
p1<-p1+theme(legend.position="none")

p2<-ggplot(dat, aes(x=defect, y=count,colour=defect, fill=defect))
p2<- p2 + geom_bar()

p2<-p2+theme(legend.position="none")

plot.new()
grid.newpage()
pushViewport(viewport(layout = grid.layout(2, 1)))
print(p1, vp = viewport(layout.pos.row = 1,layout.pos.col = 1))
print(p2, vp = viewport(layout.pos.row = 2,layout.pos.col = 1))
于 2012-10-11T12:28:41.247 回答
4

举个简单的例子:

 > data
    PC1     PC2     PC3     PC4     PC5     PC6     PC7     PC8     PC9    PC10 
0.29056 0.23833 0.11003 0.05549 0.04678 0.03788 0.02770 0.02323 0.02211 0.01925 

barplot(data)做事正确

ggplot 等效“应该是”:qplot(x=names(data), y=data, geom='bar')

但这错误地按字母顺序重新排序/排序条形......因为这就是levels(factor(names(data)))排序的方式。

解决方案:qplot(x=factor(names(data), levels=names(data)), y=data, geom='bar')

呸!

于 2010-03-30T18:47:15.847 回答
3

另外,请参阅具有功能的包qccpareto.chart()。看起来它也使用基本图形,所以开始赏金 ggplot2-solution :-)

于 2009-11-14T22:03:28.703 回答
3

我们可以使用这个ggQC包。

library(ggplot2)
library(ggQC)
Data4Pareto <- data.frame(
  KPI = c("Customer Service Time", "Order Fulfillment", "Order Processing Time",
          "Order Production Time", "Order Quality Control Time", "Rework Time",
          "Shipping"),
  Time = c(1.50, 38.50, 3.75, 23.08, 1.92, 3.58, 73.17)) 


ggplot2::ggplot(Data4Pareto, aes(x = KPI, y = Time)) +
 ggQC::stat_pareto(point.color = "red",
                   point.size = 3,
                   line.color = "black",
                   bars.fill = c("blue", "orange")) +
  theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust=0.5))

在此处输入图像描述

资源

于 2019-12-17T03:10:56.280 回答
1

为简化起见,我们只考虑估计值。

estimates <- subset(val, variable == "estimate")

首先,我们重新排列因子水平,使States 按 的降序绘制Value

estimates$State <- with(estimates, reorder(State, -Value))

同样,我们重新排序数据集并计算累积值。

estimates <- estimates[order(estimates$Value, decreasing = TRUE),]
estimates$cumulative <- cumsum(estimates$Value)

现在我们准备绘制情节。在同一轴上获得一条线和条的技巧是将 State 变量(一个因子)转换为数字。

p <- ggplot(estimates, aes(State, Value)) + 
  geom_bar() +
  geom_line(aes(as.numeric(State), cumulative))
p

如问题中所述,尝试绘制两个相邻的两个变量组的帕累托图并不容易。如果你想要多个帕累托图,你可能会更好地使用刻面。

于 2010-09-28T10:09:15.683 回答
0
freqplot = function(x, by = NULL, right = FALSE)
{
if(is.null(by)) stop('Valor de "by" precisa ser especificado.')
breaks = seq(min(x), max(x), by = by )
ecd = ecdf(x)
den = ecd(breaks)
table = table(cut(x, breaks = breaks, right = right))
table = table/sum(table)

intervs = factor(names(table), levels = names(table))
freq = as.numeric(table/sum(table))
acum = as.numeric(cumsum(table))

normalize.vec = function(x){
  (x - min(x))/(max(x) - min(x))
}

dados = data.frame(classe = intervs, freq = freq, acum = acum, acum_norm = normalize.vec(acum))
p = ggplot(dados) + 
  geom_bar(aes(classe, freq, fill = classe), stat = 'identity') +
  geom_point(aes(classe, acum_norm, group = '1'), shape = I(1), size = I(3), colour = 'gray20') +
  geom_line(aes(classe, acum_norm, group = '1'), colour = I('gray20'))

p
}
于 2013-02-21T19:49:14.633 回答