Grouped boxplot A grouped boxplot is a boxplot where categories are organized in groups and subgroups. Here we visualize the distribution of 7 groups (called A to G) and 2 subgroups (called low and high). Note that the group must be called in the X argument of ggplot2. The subgroup...
#使用ggplot2包生成箱线图P1 <- ggplot(Data,aes(x=Group,y=Value,fill=Group))+ #”fill=“设置填充颜色 stat_boxplot(geom = "errorbar",width=0.15,aes(color="black"))+ #由于自带的箱形图没有胡须末端没有短横线,使用误差条的方式补上 geom_boxplot(size=0.5,fill="white",outlier.fill="white...
p <- ggboxplot(ToothGrowth, x = "dose", y = "len", color = "supp", palette = "jco") p2 = p + stat_compare_means(aes(group = supp)) # p + stat_compare_means(aes(group = supp), label = "p.signif") p1 / p2 2.2 多组比较 (1)多组间比较可视化时,默认是 default方差分析 ...
最后稍微美化一下 ggplot(data=df,aes(x=group,y=weight))+stat_boxplot(geom="errorbar",width=0.2)+geom_boxplot(aes(fill=group))+geom_segment(data=df1,aes(x=xmin,xend=xmax,y=mean_value,yend=mean_value),color="black",size=4)+geom_segment(data=df1,aes(x=xmin+0.005,xend=xmax,y=mid...
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)+geom_boxplot(outlier.shape=1,aes(fill=group),show.legend=F)+scale_fill_manual(values=c("#e64b35","#4daf4a","#4d...
ggplot(data, aes(x = Group, y = Value)) + geom_boxplot() + labs(x = "Group", y = "Value") + ggtitle("Boxplot of Value by Group") 在这个示例中,我们创建了一个包含两个组的示例数据,每个组有100个观测值。然后,我们使用ggplot()函数创建了一个绘图对象,并使用geom_boxplot()函数添加...
aes(x=group,y=weight))+ geom_boxplot(aes(fill=group)) p1 1. 2. 3. 4. 5. 6. 7. 8. 9. image.png 通过ggplot_build()函数可以获取画箱线图用到的数据 ggplot_build(p1)$data[[1]] 1. image.png 我们利用原始数据计算一下平均值,然后将数据集的平均值添加到这组数据中 ...
# Change box plot colors by groups ggplot(ToothGrowth, aes(x=dose, y=len, fill=supp)) + geom_boxplot() # Change the position p<-ggplot(ToothGrowth, aes(x=dose, y=len, fill=supp)) + geom_boxplot(position=position_dodge(1))
• geom_boxplot() for box plot• geom_violin() for violin plot• geom_dotplot() for dot plot• geom_jitter() for stripchart• geom_line() for line plot• geom_bar() for bar plot 今天我们介绍一下如何添加bar 先建立一个数据 library(tidyverse)# ToothGrowth data setdf <- ...