Reputation: 35
Suppose I have a data frame with 3 columns and 10 rows as follows.
# V1 V2 V3
# 10 24 92
# 13 73 100
# 25 91 120
# 32 62 95
# 15 43 110
# 28 54 84
# 30 56 71
# 20 82 80
# 23 19 30
# 12 64 89
I want to create sub-dataframes that divide the original by the values of V1. For example, the first data frame will have the rows with values of V1 from 10-14, the second will have the rows with values of V1 from 15-19, the third from 20-24, etc.
What would be the simplest way to make this?
Upvotes: 2
Views: 419
Reputation: 206197
So if this is your data
dd<-data.frame(
V1=c(10,13,25,32,15,38,30,20,23,13),
V2=c(24,73,91,62,43,54,56,82,19,64),
V3=c(92,100,120,95,110,84,71,80,30,89)
)
then the easiest way to split is using the split() command. And since you want to split in ranges, you can use the cut() command to create those ranges. A simple split can be done with
ss<-split(dd, cut(dd$V1, breaks=seq(10,35,by=5)-1)); ss
split returns a list where each item is the subsetted data.frame. So to get at the data.frame with the values for 10-14, use ss[[1]], and for 15-19, use ss[[2]] etc.
Upvotes: 5