ggplot2中主要是用到了geom_boxplot()函数,同时包含添加箱须的stat_boxplot()函数,具体以mtcars数据作为案例进行绘制。 ▉首先来一个简单的箱型图 library(ggplot2) mtcars$cyl.f <- factor(mtcars$cyl,levels=c(4,6,8), labels=c("4","6","8")) mtcars$am.f <- factor(mtcars$am,levels=c(0,...
#凹形箱线图ggplot(ToothGrowth,aes(x=dose,y=len))+geom_boxplot(notch=TRUE) #修改离群值、颜色、形状和大小ggplot(ToothGrowth,aes(x=dose,y=len))+geom_boxplot(outlier.colour="red",outlier.shape=8,outlier.size=4) 2.3 带点箱线图 #初始箱线图p<-ggplot(ToothGrowth,aes(x=dose,y=len))+geom...
boxplot(x,...,range=1.5,width=NULL,varwidth=FALSE,notch=FALSE,outline=TRUE,names,plot=TRUE,border=par("fg"),col=NULL,log="",pars=list(boxwex=0.8,staplewex=0.5,outwex=0.5),ann=!add,horizontal=FALSE,add=FALSE,at=NULL)Arguments dev.off()par(mfrow=c(3,3))boxplot(mpg~cyl,data=mtcars...
boxplot(1:100, notch = T, main = "notch = T") boxplot(1:100, notch = F, main = "notch = F") 效果图如下: 4)col : 箱体的填充色 代码示例: dataset <- data.frame(value = rep(1:100, times = 2), group = factor(rep(c("A", "B"), times = c(160, 40))) boxplot( va...
geom_boxplot(fill = "white", color = 'darkgrey', size=0.5, width = 0.8,outlier.shape = NA )+ geom_jitter(color = "darkblue", shape = 4, size = 1, width = 0.05)+ labs( x = "", y = "mRNA expression", title = 'IGF2' ...
#绘制boxplot p=ggboxplot(data, x="Gene", y="Expression", color = "Type", ylab="Gene expression", xlab="", legend.title=x, palette = c("blue","red"), width=0.6, add = "none") p=p+rotate_x_text(60) p1=p+stat_compare_means(aes(group=Type), method="wilcox.test", symnum...
geom_boxplot(aes(fill = Stage),notch = FALSE)+ scale_fill_manual(values=c(brewer.pal(8,"Set2")[c(3,6,7,8)]))+ theme_classic()+ ylab("The expression level")+ theme(panel.background=element_rect(fill="white",colour="black",size=0.25), ...
在降水数据的箱形图(boxplot)中,中位数位于四分位距(IQR)箱体的中间,上下触须(whisker)长度相等.这表明除了异常点(outlier)星号(*)外,数据是对成的.这很好的说明了异常点(outlier)可能和其它的样本数据不是来自同一个母体(population)。 我们结合Minitab帮助就会知道, ...
R语言boxplot绘图函数 R语⾔boxplot绘图函数 boxplot ⽤于绘制箱线图，我们都知道boxplot ⽤于展⽰⼀组数据的总体分布，在R语⾔中，⽀持两种输⼊数据的⽅式第⼀种：x ，这个参数指定⽤于绘制箱线图所⽤的数据，是⼀个向量 代码⽰例：boxplot(1:100)效果图如下：第⼆种，通多formal...
#使用R内置数据集 data("chickwts") test=chickwts[c(1:22),] library(ggplot2) library(ggpubr) library(ggsci) # pdf(file = 'boxplot.pdf',width = 4,height=4) ggplot(test,aes(feed,weight,fill=feed))+ geom_boxplot()+ stat_compare_means(label.y = max(test$weight)*1.1)+ ...