mne*_*nel 54
正如@Roland暗示但未实现的那样,您可以使用它stat_boxplot来实现它.诀窍呼叫_boxplot两次,是设置geom到errorbar了一个通话.
请注意,R使用笔和纸方法时,建议首先在顶部绘制传统的箱形图来实现误差线.
使用@ Roland的虚拟数据 df
ggplot(df, aes(x=cond, y = value)) +
stat_boxplot(geom ='errorbar') +
geom_boxplot() # shorthand for stat_boxplot(geom='boxplot')
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stat_boxplot(?stat_boxplot)的帮助详细说明了计算和保存的各种值data.frame
mpa*_*nco 24
要调整胡须线的大小,我们可以使用函数width = 0.5内部的参数:stat_boxplot
set.seed(42)
df <- data.frame(cond = factor(rep(c("A", "B"), each = 500)),
value = c(rnorm(500, mean = 1, sd = 0.2),
rnorm(500, mean = 1.5, sd = 0.1)))
library(ggplot2)
ggplot(df, aes(x = cond, y = value)) +
stat_boxplot(geom = "errorbar", width = 0.5) +
geom_boxplot()
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有可能stat_boxplot用来计算晶须结束,但我还不够ggplot2精灵,所以我使用了基本函数.
set.seed(42)
df <- data.frame(cond = factor( rep(c("A","B"), each=500) ),
value = c(rnorm(500,mean=1,sd=0.2),rnorm(500, mean=1.5,sd=0.1)))
whisk <- function(df,cond_col=1,val_col=2) {
require(reshape2)
condname <- names(df)[cond_col]
names(df)[cond_col] <- "cond"
names(df)[val_col] <- "value"
b <- boxplot(value~cond,data=df,plot=FALSE)
df2 <- cbind(as.data.frame(b$stats),c("min","lq","m","uq","max"))
names(df2) <- c(levels(df$cond),"pos")
df2 <- melt(df2,id="pos",variable.name="cond")
df2 <- dcast(df2,cond~pos)
names(df2)[1] <- condname
df2
}
library(ggplot2)
plot1 <- ggplot(df, aes(x=cond))
plot1 <- plot1 + geom_errorbar(aes(ymin=min,ymax=max),data=whisk(df),width = 0.5)
plot1 <- plot1 + geom_boxplot(aes(y=value))
plot1
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