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[英]R: How to plot multiple boxplots, each from a single column in a dataset, on the same ggplot?
[英]Multiple boxplots from the same dataset
我正在尋找一種簡化以下代碼的方法; 我想根據質量繪制9種不同的度量值,並試圖避免對代碼進行9次粘貼和粘貼(甚至不得不編寫9次函數來繪制和調用函數):
p1<- ggplot(aes(x=quality, y = alcohol), data = df) + geom_boxplot()+ stat_summary(fun.y=mean,geom = 'point', shape = 4)
p2<- ggplot(aes(x=quality, y = pH), data = df) + geom_boxplot()+ stat_summary(fun.y=mean,geom = 'point', shape = 4)
grid.arrange(p1,p2, ncol=1)
有什么可以做的嗎?
謝謝迭戈
在由plyr在融化的數據幀上生成的繪圖列表上使用do.call。 (我假設您不想在融化的數據上使用facet_grid是有原因的)
#generate some data
data <- data.frame(id=1:500, quality=sample(3:10,replace=TRUE,size=500))
for(i in 1:9){
data[,paste0("outcome_",i)]<-rnorm(500)
}
#melt it
melt_data <- melt(data,id.vars=c("id","quality"))
head(melt_data)
library(ggplot2)
library(gridExtra)
#generate a list of plots
plots <- dlply(melt_data,.(variable),function(chunk){
ggplot(data=chunk, aes(x=factor(quality), y = value)) + geom_boxplot()+
stat_summary(fun.y=mean,geom = 'point', shape = 4) +
#label y axis correctly
labs(y=unique(chunk$variable)
)
})
do.call(grid.arrange,c(plots,ncol=2))
您可以使用do.call
。
library(ggplot2)
p1 <- ggplot(airquality, aes(x = Ozone, y = Solar.R)) +
theme_bw() +
geom_point()
out <- list(p1, p1)
library(gridExtra)
do.call("grid.arrange", out)
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