如何解决如何在R ggplot2中绘制3个data.frames
我有3个数据帧:
head(df1)
Row.names Nmds1 Nmds2 Station
1 E01M1 -1.39917737 -0.52996467 S01
2 E01M2 -0.85390268 -0.24919481 S01
3 E01M3 -0.31713304 0.14375418 S01
4 E01M4 -0.54494214 -0.12534209 S01
5 E02M1 0.03874897 -0.10945807 S02
6 E02M2 0.68255493 -0.07708227 S02
head(df2)
Nmds1 Nmds2 env.pvals env.variables
Deep 0.23990125 -0.3194394 0.5384615 Deep
Salinity -0.18454375 -0.1849230 1.0000000 Salinity
Temp -0.02935085 0.1953837 1.0000000 Temp
OD 0.27043891 -0.3425079 0.2967033 OD
pH 0.34483843 -0.1953211 0.6043956 pH
DBO5 -0.31011556 0.1377326 1.0000000 DBO5
head(df3)
Nmds1 Nmds2 spp_pvals Family
Otu_3503 -0.13102909 0.5044264 0.009 Desulfobacteraceae
Otu_3887 -0.09181908 0.5502878 0.004 Desulfobacteraceae
Otu_4287 -0.08140270 0.3914792 0.031 Desulfobacteraceae
Otu_4804 -0.10993229 0.5427913 0.005 Desulfobacteraceae
Otu_4807 0.21147428 -0.1891993 0.198 Desulfobulbaceae
Otu_5108 -0.45920996 0.0493874 0.012 Desulfatiglans
我试图从三个df,df2和df3中绘制一个图
绘制df1
P <- ggplot(df1,aes(x = Nmds1,y = Nmds2)) + geom_point(aes(Nmds1,Nmds2,color = Station),size=4) + theme_bw()
绘制df1 + df2
P <- P + geom_segment(data = df2,aes(x = 0,xend = Nmds1,y = 0,yend = Nmds2),arrow = arrow(length = unit(0.25,"cm")),colour = "grey10",lwd = 0.3) +
ggrepel::geom_text_repel(data = df2,y = Nmds2,label = env.variables),cex = 4,direction = "both",segment.size = 0.25)
问题!
我想使用geom_point将df3图添加到先前的P图中
ggplot(df3,color = Family),size=2,shape=20,alpha=0.4) + theme_bw()
我必须调整比例吗?如何在一个绘图中绘制所有3个df ???
谢谢
解决方法
实际上,您的问题是,对于两个不同的点集,您需要两个色标。
有解决此问题的方法,涉及到诸如ggnewscale
之类的其他程序包,但在此情况下,更简单的方法是使用具有填充颜色的形状来代表较大的点。 shape = 21
非常适合您的大积分。这样,您可以将填充比例用于Station
,将颜色比例用于Family
。请记住,如果要更改较大点的颜色,则需要使用scale_fill_xxx
而不是scale_color_xxx
library(ggplot2)
library(ggrepel)
ggplot(df1,aes(x = NMDS1,y = NMDS2)) +
geom_point(aes(fill = Station),size = 5,shape = 21,color = "00000000") +
geom_segment(aes(x = 0,xend = NMDS1,y = 0,yend = NMDS2),data = df2,arrow = arrow(length = unit(0.25,"cm")),colour = "grey10",lwd = 0.3) +
geom_text_repel(aes(label = env.variables),cex = 4,direction = "both",segment.size = 0.25) +
geom_point(aes(color = Family),data = df3,size = 2,shape = 20) +
theme_bw()
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