library(ggplot2) library(stringr) library(ggprism) x_level<-paste(df$Group1,df$Group2,sep="_") x_level df1$group<-str_sub(df1$new_col,5,7) df1$new_col<-factor(df1$new_col, levels = x_level) ggplot(df1,aes(x=new_col,y=value))+ stat_boxplot(geom = "errorbar",width=0.2)...
frame(x=c(0.5,1:4), y=-Inf, label=c("n=",313,5,8,5)) ggplot(data=efig7c, aes(x=group_info,y=BLUP))+ geom_boxplot(aes(fill=group_info))+ scale_fill_manual(values = c("#feb2a9","#fdd79d", "#dbcde4","#c993c7"))+ geom_jitter(width = 0.4)+ theme_bw()+ ...
ggplot(df,aes(group1,value))+ geom_boxplot(aes(fill=group1))+ geom_jitter(color="black",size=2.5,width=0.2,alpha=0.9) 6、添加最大最小值线横线: ggplot(df,aes(group1,value))+stat_boxplot(geom="errorbar",width=0.1,size=0.8)+ geom_boxplot(aes(fill=group1),outlier.color=NA) 7、...
Example: Add Sample Size by Group to ggplot2 Boxplot Using annotate() FunctionThis example demonstrates how to annotate the number of observations per group as text labels to each box of a ggplot2 boxplot.To do this, we can apply the annotate function as shown below:...
p<-ggplot(data=Data,aes(x=Group,y=Value))+ stat_boxplot(geom = 'errorbar', width = 0.1)+ geom_boxplot(aes(fill=Group),geom = "boxplot", position = "dodge2", coef = 1.5, na.rm = FALSE, orientation = NA, show.legend = NA, inherit.aes = TRUE)+ labs(title="Serium Conc ...
Example 4: Modify Fill Colors of Boxplots by Group Until now, we have changed the colors in a ggplot2 line and point graph. This example illustrates how to modify the colors of a boxplot graphic. For this, we can use the fill argument within the aesthetics of the ggplot function: ...
在R语言中,可以使用ggplot2包来绘制qq图和boxplot图。 首先,需要安装ggplot2包,并加载该包: install.packages("ggplot2") library(ggplot2) 复制代码 接下来,可以使用ggplot()函数创建一个基础图形对象,并使用geom_qq()函数来绘制qq图: ggplot(data, aes(sample = variable)) + geom_qq() 复制代码 其中,...
统计变换(stat):对数据进行汇总,如箱线图:stat_boxplot、线图:stat_abline、直方图:stat_bin 分面(facet):用来描述数据如何被拆分为子集,以及对不同子集是如何绘制的。 位置调整(position):对图形位置做精细控制。 创建ggplot对象:使用ggplot函数: ggplot(data,mapping=aes(),...,environment=globalenv()) ...
library(ggplot2)# 模拟数据y<-c(4,7,9)df<-data.frame(x=1:3,y=y,se=c(1,0.5,1.5))p<-ggplot(df,aes(x,y,ymin=y-se,ymax=y+se)) 为了演示上述所有的几何对象,我们在这里分别按连续变量和离散变量进行分析(实际应该看做一个离散变量更好) ...