p<-ggplot(data, aes(x = surstat, y = gene39)) # x分组变量,y表达变量 p+geom_violin() #画出violin plot p+geom_violin(aes(fill = surstat)) #按组别填充颜色 violin 1.2 修改参数美化图: P<- ggplot(data, aes(x = surstat, y = gene39, fill=surstat)) + rotate_x_text(angle = ...
R基础教程可先阅读:R语言编程基础第一篇:语法基础 ggplot2绘制小提琴图 library(ggplot2) library(gplots) library(RColorBrewer) options(StringAsFactors=FALSE) #read in the data file data = read.table('violin_plot.txt', sep="\t", header=T) #take a glance at the data head(data) dim(data)...
install.packages("ggplot2") 1. 然后,加载ggplot2包: library(ggplot2) 1. 2. 数据准备 假设我们有一个名为data的数据框,其中包含两列:category和value。category表示分组,value表示数值。 data<-data.frame(category=c("A","B","A","B","A","B"),value=c(10,20,15,25,12,18)) 1. 2. 3. ...
factor(ToothGrowth$dose) return(ToothGrowth) } # 数据集 # @len 目标变量, 为连续变量 # @ dose 分组变量,需要转换为因子 # @ supp 分组变量,需要转换为因子 ToothGrowth <- get_data() # 需要的包 library(ggplot2) library(patchwork) library(tidyverse) # 绘图 # 基本绘图参数设置 p <- ToothGrowth...
Create a violin plot with error bars. Violin plots are similar to box plots, except that they also show the kernel probability density of the data at different values.ggviolin( data, x, y, combine = FALSE, merge = FALSE, color = "black", fill = "white", palette = NULL, alpha = ...
使用ggplot创建多个堆叠的小提琴图。 rggplot2violin-plot 4 我有一个模型在不同景观上运行,一次同时在两个上运行,一次分别在每个上运行。我想要用小提琴图来绘制结果,但我想要在同一个图中将这两次运行并排而列,并且每个景观都有自己的小提琴(因此是2个堆栈中的4个小提琴)。示例数据: df1 <- data.frame(...
Plot data representing Glycans in boxplot or violin mode using ggplot2Ivo Ugrina
Basic violin plot Building a violin plot with ggplot2 is pretty straightforward thanks to the dedicated geom_violin() function. # Library library(ggplot2) # create a dataset data <- data.frame( name=c( rep("A",500), rep("B",500), rep("B",500), rep("C",20), rep('D', 100...
A website that displays hundreds of R charts with their code - R-graph-gallery/95-violin-plot-with-ggplot2.html at cc85d0c4b016d9f7245df690da2b4619d1db739e · klao-thongchan/R-graph-gallery
library(ggplot2) # Basic violin plot p <- ggplot(ToothGrowth, aes(x=dose, y=len)) + geom_violin() p # Rotate the violin plot p + coord_flip() # Set trim argument to FALSE ggplot(ToothGrowth, aes(x=dose, y=len)) + geom_violin(trim=FALSE) ...