("B", 10))) df library(ggplot2) library(ggprism) ggplot(data = df, aes(x = groups, y = value, fill = type)) + geom_violin(position = position_dodge(0.5))+ geom_boxplot(width=0.1, position = position_dodge(0.5))+ theme_prism()+ scale_fill_manual(values = c("#1c9e77","#...
("B", 10))) df library(ggplot2) library(ggprism) ggplot(data = df, aes(x = groups, y = value, fill = type)) + geom_violin(position = position_dodge(0.5))+ geom_boxplot(width=0.1, position = position_dodge(0.5))+ theme_prism()+ scale_fill_manual(values = c("#1c9e77","#...
boxplot,自带四分位信息,最好加上jitter让人看到你的数据点 violin plot,在单细胞里很火,可以直接看到数据的分布,可以叠加boxplot使用 线性拟合回归,lm,我们目前绝对无法handle非线性的回归这些经典分析必须搭配显著性测试,必须在图里显示P-value,或者P-value对应的符号(*、**、***、NS)。目前在ggplot里添加显著...
Plotdata%>%left_join(sample_size)%>%mutate(myaxis =paste0(name,"\n","n=", num))%>%ggplot(aes(x=myaxis,y=value,fill=name))+geom_violin(width=1.4)+geom_boxplot(width=0.1,color="grey",alpha=0.2)+scale_fill_viridis(discrete =TRUE)+theme_ipsum()+theme(legend.position="none",plot...
ggplot(df, aes(x=journal, y=auth_num, fill=journal)) + geom_violin(scale="width") + geom_boxplot(width=.12, fill=I("black"), notch=T, outlier.size=NA, col="grey40") + stat_summary(fun="median", geom="point", shape=20, col="white") + #scale_y_log10(breaks=c(1:5, ...
geom_violin()+ geom_boxplot() 1. 2. 3. image.png 箱线图的宽度有点大,盖住了背后的小提琴图,把宽度设置的小一点,需要加width参数 ggplot(data = df, aes(x = groups, y = value, fill = type)) + geom_violin()+
箱线图,geom_boxplot(),通过一些描述性统计量来描述数据分布 小提琴图,geom_violin(),展示概率密度分布函数。# 使用fill或者col指定颜色 ggplot(mpg, aes(drv, hwy)) + geom_jitter() ggplot(mpg, aes(drv, hwy,fill=drv)) + geom_boxplot() ggplot(mpg, aes(drv, hwy,fill=drv)) + geom_violin(...
Master 5.8 Make boxplots and violin plots with ggplot2 with free video lessons, step-by-step explanations, practice problems, examples, and FAQs. Learn from expert tutors and get exam-ready!
此外:geom_boxplot(outlier.size = 0.5) 和 geom_point(size = 0.5) 这两个函数中散点大小需要保持一致。 Step5:配对小提琴图 ggplot(data, aes(x = Group, y = Expression, color = Group)) + geom_violin(size = 1) + geom_line(aes(group = paired), color = "grey80", size = 0.5) + ...
# violin plot with mean points p + stat_summary(fun.y=mean, geom="point", shape=23, size=2) # violin plot with median points p + stat_summary(fun.y=median, geom="point", size=2, color="red") Add median and quartile A solution is to use the functiongeom_boxplot: ...