1. 载入软件包

这里使用R语言的​​data.table​​​和​​ggplot2​​

library(ggplot2)
library(data.table)

2. 生成模拟数据

生成示例数据

library(data.table)
library(ggplot2)
dat <- data.table(Spring = c(runif(9,0,1),2),
                  Summer = runif(10,0,1),
                  Autumn = runif(10,0,1),
                  Winter = runif(10,0,1))
dat1 = melt(dat)

数据如下:

variable      value
 1:   Spring 0.35080952
 2:   Spring 0.54117242
 3:   Spring 0.57099138
 4:   Spring 0.69833364
 5:   Spring 0.17191075
 6:   Spring 0.63691289
 7:   Spring 0.40214424
 8:   Spring 0.97314831
 9:   Spring 0.83956778
10:   Spring 2.00000000
11:   Summer 0.47840804
12:   Summer 0.79554135
13:   Summer 0.15929476
14:   Summer 0.45459106
15:   Summer 0.36670243
16:   Summer 0.02211403
17:   Summer 0.28918663
18:   Summer 0.63833289
19:   Summer 0.80307539
20:   Summer 0.89594080
21:   Autumn 0.90843733
22:   Autumn 0.43163801
23:   Autumn 0.25398825
24:   Autumn 0.66496326
25:   Autumn 0.29471913
26:   Autumn 0.57182528
27:   Autumn 0.51998086
28:   Autumn 0.48036170
29:   Autumn 0.35763278
30:   Autumn 0.36079394
31:   Winter 0.50301352
32:   Winter 0.80367454
33:   Winter 0.92260861
34:   Winter 0.25098717
35:   Winter 0.67010922
36:   Winter 0.81587109
37:   Winter 0.16946031
38:   Winter 0.41868416
39:   Winter 0.03333256
40:   Winter 0.40031857
    variable      value

3. 生成分组箱线图

要点


  • data=dat1 # 定义数据
  • aes(x = variable, y = value) # 定义x轴和y轴
  • geom_boxplot() #定义箱线图

ggplot(data=dat1,aes(x=variable,y=value)) +geom_boxplot()

ggplot2 分组箱线图图绘制方法_r语言

为不同的箱线图添加颜色

ggplot(data=dat1,aes(x=variable,y=value,colour=variable)) +geom_boxplot()

ggplot2 分组箱线图图绘制方法_r语言_02