("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))+
("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","#...
ggplot(data = df, aes(x = groups, y = value, fill = type)) + 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)) + geo...
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, ...
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(...
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...
geom_boxplot()：用于绘制箱线图，展示数据的中位数、四分位数和异常值。geom_violin()：用于绘制小...
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...
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!
scale_fill_manual() #for box plot, bar plot, violin plot, etc scale_color_manual() #for lines and points 1. 2. 以下代码设置箱线图的前景色: ggplot(ToothGrowth, aes(x=dose, y=len,color=dose)) + geom_boxplot()+ scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9")...