基础箱线图练习
h <- c(0.33, 0.48, 0.51, 0.43, 0.54, 0.44, 0.41, 0.37)
boxplot(h)
结果如下：
image.png
数据准备
#采用ToothGrowth数据集
ToothGrowth
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
head(ToothGrowth)
> ToothGrowth
len supp dose
1 4.2 VC 0.5
2 11.5 VC 0.5
3 7.3 VC 0.5
4 5.8 VC 0.5
5 6.4 VC 0.5
6 10.0 VC 0.5
7 11.2 VC 0.5
8 11.2 VC 0.5
9 5.2 VC 0.5
10 7.0 VC 0.5
11 16.5 VC 1.0
12 16.5 VC 1.0
13 15.2 VC 1.0
14 17.3 VC 1.0
15 22.5 VC 1.0
16 17.3 VC 1.0
17 13.6 VC 1.0
18 14.5 VC 1.0
19 18.8 VC 1.0
20 15.5 VC 1.0
21 23.6 VC 2.0
22 18.5 VC 2.0
23 33.9 VC 2.0
24 25.5 VC 2.0
25 26.4 VC 2.0
26 32.5 VC 2.0
27 26.7 VC 2.0
28 21.5 VC 2.0
29 23.3 VC 2.0
30 29.5 VC 2.0
31 15.2 OJ 0.5
32 21.5 OJ 0.5
33 17.6 OJ 0.5
34 9.7 OJ 0.5
35 14.5 OJ 0.5
36 10.0 OJ 0.5
37 8.2 OJ 0.5
38 9.4 OJ 0.5
39 16.5 OJ 0.5
40 9.7 OJ 0.5
41 19.7 OJ 1.0
42 23.3 OJ 1.0
43 23.6 OJ 1.0
44 26.4 OJ 1.0
45 20.0 OJ 1.0
46 25.2 OJ 1.0
47 25.8 OJ 1.0
48 21.2 OJ 1.0
49 14.5 OJ 1.0
50 27.3 OJ 1.0
51 25.5 OJ 2.0
52 26.4 OJ 2.0
53 22.4 OJ 2.0
54 24.5 OJ 2.0
55 24.8 OJ 2.0
56 30.9 OJ 2.0
57 26.4 OJ 2.0
58 27.3 OJ 2.0
59 29.4 OJ 2.0
60 23.0 OJ 2.0
> ToothGrowth$dose <- as.factor(ToothGrowth$dose)
> head(ToothGrowth)
len supp dose
1 4.2 VC 0.5
2 11.5 VC 0.5
3 7.3 VC 0.5
4 5.8 VC 0.5
5 6.4 VC 0.5
6 10.0 VC 0.5
ggplot2函数的调用
library(ggplot2)
基础箱线图
Basic box plot
p <- ggplot(ToothGrowth, aes(x=dose, y=len)) +
geom_boxplot()
p
image.png
旋转箱线图
Rotate the box plot
p + coord_flip()
image.png
缺口箱线图制作
Notched box plot
ggplot(ToothGrowth, aes(x=dose, y=len)) +
geom_boxplot(notch=TRUE)
image.png
Change outlier, color, shape and size
改变离群值的颜色，形状，大小
p <- ggplot(ToothGrowth, aes(x=dose, y=len)) +
geom_boxplot(outlier.colour="red", outlier.shape=8,
outlier.size=4)
p
image.png
添加平均值
Box plot with mean points
p + stat_summary(fun=mean, geom="point", shape=23, size=4)
image.png
选定指定组展示
p + scale_x_discrete(limits=c("0.5", "2"))
image.png
将点标注上去
Box plot with dot plot
p + geom_dotplot(binaxis='y', stackdir='center', dotsize=1)
image.png
Box plot with jittered points
0.2 : degree of jitter in x direction
p + geom_jitter(shape=16, position=position_jitter(0.2))
image.png
Change box plot line colors by groups
p <-ggplot(ToothGrowth, aes(x=dose, y=len, color=dose)) +
geom_boxplot()
p
image.png
Use custom color palettes
p+scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9"))
image.png
Use brewer color palettes
p+scale_color_brewer(palette="Dark2")
image.png
Use grey scale
p + scale_color_grey() + theme_classic()
image.png
Use single color
ggplot(ToothGrowth, aes(x=dose, y=len)) +
geom_boxplot(fill='#A4A4A4', color="black")+
theme_classic()
image.png
Change box plot colors by groups
p<-ggplot(ToothGrowth, aes(x=dose, y=len, fill=dose)) +
geom_boxplot()
p
image.png
Use custom color palettes
p+scale_fill_manual(values=c("#999999", "#E69F00", "#56B4E9"))
image.png
use brewer color palettes
p+scale_fill_brewer(palette="Dark2")
image.png
Use grey scale
p + scale_fill_grey() + theme_classic()
p + theme(legend.position="top")
p + theme(legend.position="bottom")
p + theme(legend.position="none") # Remove legend
p + scale_x_discrete(limits=c("2", "0.5", "1"))
image.png
Change box plot colors by groups
ggplot(ToothGrowth, aes(x=dose, y=len, fill=supp)) +
geom_boxplot()
image.png
Change the position
p<-ggplot(ToothGrowth, aes(x=dose, y=len, fill=supp)) +
geom_boxplot(position=position_dodge(1))
p
image.png