How do I split a data frame based on range of column values in R?

Question

I have a data set like this:

Users   Age
1        2
2        7
3        10
4        3
5        8
6        20

How do I split this data set i

Answer 1

We could also use the between function from the data.table package.

# Create a data frame
dat <- data.frame(Users = 1:7, Age = c(2, 7, 10, 3, 8, 12, 15))

# Convert the data frame to data table by reference
# (data.table is also a data.frame)
setDT(dat)

# Define a list with the cut pairs
cuts <- list(c(0, 5), c(6, 10), c(11, 15))

# Cycle through dat and cut it into list of data tables by the values in Age
# matching the defined cuts
lapply(X = cuts, function(i) {
  dat[between(x = dat[ , Age], lower = i[1], upper = i[2])]
})

Output:

[[1]]
   Users Age
1:     1   2
2:     4   3

[[2]]
   Users Age
1:     2   7
2:     3  10
3:     5   8

[[3]]
   Users Age
1:     6  12
2:     7  15

Many other things are possible, including doing it by group, data.table is rather flexible.