问题
This may be a simple question, but I haven't been able to find any answer. Consider you have a dataframe with n columns with molecular features. In the last row of each column, a coefficient of variance is expressed.
Example data set:
a <- data.frame(matrix(runif(30),ncol=3))
b <- c(50.23,45.23,21)
a<-rbind(a,b)
X1 X2 X3
1 0.1097075 0.78584027 0.20925033
2 0.6081752 0.39669748 0.65559913
3 0.9912855 0.68462073 0.54741795
4 0.8543848 0.53776889 0.43789447
5 0.2579654 0.92188090 0.61292895
6 0.6203840 0.73152279 0.82866311
7 0.6643195 0.84953926 0.62192976
8 0.5760624 0.30949900 0.11032929
9 0.8888167 0.04530598 0.08089825
10 0.8926815 0.61736284 0.19834310
11 50.2300000 45.23000000 21.00000000
How do I subset so I only get the columns with CV>50 in the last row? So my new data.frame would be:
X1
1 0.1097075
2 0.6081752
3 0.9912855
4 0.8543848
5 0.2579654
6 0.6203840
7 0.6643195
8 0.5760624
9 0.8888167
10 0.8926815
11 50.230000
回答1:
We can do
a[,a[nrow(a),]>50,drop=FALSE]
来源：https://stackoverflow.com/questions/40800731/subset-columns-based-on-row-value