I can\'t find a solution in R (using data.table) to group data by a custom range (for example, -18, 18-25, ..., 65+) not by a single value.
What I\'m using right now
@jdharrison is right: cut(...)
is the way to go.
library(data.table)
# create sample - you have this already
set.seed(1) # for reproducibility
DT <- data.table(age=sample(15:70,1000,replace=TRUE),
value=rpois(1000,10))
# you start here...
breaks <- c(0,18,25,35,45,65,Inf)
DT[,list(mean=mean(value)),by=list(age=cut(age,breaks=breaks))][order(age)]
# age mean
# 1: (0,18] 10.000000
# 2: (18,25] 9.579365
# 3: (25,35] 10.158192
# 4: (35,45] 9.775510
# 5: (45,65] 9.969697
# 6: (65,Inf] 10.141414