R中的多个箱形图 [英] Multiple boxplots in R
本文介绍了R中的多个箱形图的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有如下的基因表达数据:
$ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ 10.5 12 13 14
g2 11 13 10.5 12
g3 10 9 11 10
g4 9 8 6 5
g5 16 4 4 6
g6 11 12 5 4
g7 10 6 13 12
g8 5 4 12 12
g9 11 12 10 11.5
g10 8.9 7.8 7.6 5.8
其中行代表基因,并且存在两个条件控制和处理,其进一步细分为L1,L2和L1和 L2。
我想用以下方式制作这些表达式值的箱型图,并将它们表示为boxplot ??
x
V1 V2 V3 V4 V5
1 g1 10.5 12.0 13.0 14.0
2 g2 11.0 13.0 10.5 12.0
3 g3 10.0 9.0 11.0 10.0
4 g4 9.0 8.0 6.0 5.0
5 g5 16.0 4.0 4.0 6.0
6 g6 11.0 12.0 5.0 4.0
7 g7 10.0 6.0 13.0 12.0
8 g8 5.0 4.0 12.0 12.0
9 g9 11.0 12.0 10.0 11.5
10 g10 8.9 7.8 7.6 5.8
x.m <-melt( x,id.var =V1)
xm $控制< -ifelse(xm $ variable%in%c(V2,V3),Control,Treatment)
xm $ L <-ifelse(xm $ variable%in%c(V2,V4),L1,L2)
ggplot(xm,aes(x = L, y = value,fill = control))+ geom_boxplot()
I have gene expression data as follows:
Control Treatment
L1 L2 L1 L2
g1 10.5 12 13 14
g2 11 13 10.5 12
g3 10 9 11 10
g4 9 8 6 5
g5 16 4 4 6
g6 11 12 5 4
g7 10 6 13 12
g8 5 4 12 12
g9 11 12 10 11.5
g10 8.9 7.8 7.6 5.8
where the rows represent the genes and there are two conditions "control" and "treatment" which is further subdivided into "L1", "L2" and "L1" and "L2" respectively.
I would like to make a boxplot of these expression values in the following way and represent them as a boxplot ??
解决方案
x
V1 V2 V3 V4 V5
1 g1 10.5 12.0 13.0 14.0
2 g2 11.0 13.0 10.5 12.0
3 g3 10.0 9.0 11.0 10.0
4 g4 9.0 8.0 6.0 5.0
5 g5 16.0 4.0 4.0 6.0
6 g6 11.0 12.0 5.0 4.0
7 g7 10.0 6.0 13.0 12.0
8 g8 5.0 4.0 12.0 12.0
9 g9 11.0 12.0 10.0 11.5
10 g10 8.9 7.8 7.6 5.8
x.m<-melt(x, id.var="V1")
x.m$control<-ifelse(x.m$variable %in% c("V2", "V3"), "Control","Treatment")
x.m$L<-ifelse(x.m$variable %in% c("V2", "V4"), "L1","L2")
ggplot(x.m, aes(x=L,y=value, fill=control))+geom_boxplot()
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