新的并且停留在ggplot:
我有以下数据:
tribe rho preference_watermass
1 Luna2 -1.000 hypolimnic
2 OP10I-A1 -1.000 epilimnic
3 B0_FO56C -0.986 hypolimnic
4 Planctomycetes_FGIDN -0.943 hypolimnic
5 acIV_IVNEG -0.943 hypolimnic
6 FTD4J6C01EE04F -0.941 hypolimnic
7 alll -0.941 hypolimnic
8 FTD4J6C02HMHDM -0.928 hypolimnic
9 Planctomycetes_GQLBU -0.928 hypolimnic
10 acII-A -0.886 epilimnic
11 LD19_GMKGQ -0.880 hypolimnic
12 acIV_E2W4O -0.880 hypolimnic
13 Planctomycetes_AFE3Z -0.880 epilimnic
14 Bacteriodetes -0.880 epilimnic
15 FTD4J6C01APQD0 -0.880 epilimnic
16 FTD4J6C02GBAUX -0.880 epilimnic
17 baII -0.845 epilimnic
18 FTD4J6C01CJCBG 0.812 transitient
19 Pyxis 0.928 hypolimnic
20 Sphingobacteria_GQB5E 0.928 transitient
21 acI-A_I8OXG 0.943 hypolimnic
22 LD12 0.943 epilimnic
我想制作一个条形图,根据rho的加入值对因子(部落)进行排序。
plot2<-ggplot(data=dfm, aes(x=tribe,y=rho,fill=preference_watermass))+
geom_bar(stat="identity")+
coord_flip()+
labs(y="Spearman correlation rho",x="tribe")+
scale_fill_manual(values=c("blue", "red", "black"))
然后我尝试重新排序
plot2<-ggplot(data=dfm, aes(reorder(tribe,rho,order=TRUE),rho,fill=preference_watermass))+
geom_bar(stat="identity")+
coord_flip()+
labs(y="Spearman correlation rho",x="tribe")+
scale_fill_manual(values=c("blue", "red", "black"))
但是得到这个:
我错过了什么可以订购价值? 谢谢你的帮助!
答案 0 :(得分:3)
您必须重新排序数据本身,而不仅仅是在aes
内,正如@amzu正确说明的那样:
dfm$tribe <- reorder(dfm$tribe, dfm$rho)
plot2