I know we can dynamically add column names when creating columns by reference (using :=), as described e.g. here: Dynamic column names in data.table.
However, I'm looking to dynamically add column names when we aggregate. Can you help with this?
test_dtb <- data.table(a = sample(1:100, 100), b = sample(1:100, 100), id = rep(1:10, 10))
m = "blah"
test_dtb[ , list((m) = mean(b)), by = id]
The error I get is
Error: unexpected '=' in "test_dtb[ , list((m) =
m = c("blah", "foo");test_dtb[,setNames(list(mean(b),median(b)), m),by = id]?test_dtb[,eval(m):=mean(b),by = id]?m = c("blah", "foo"); test_dtb[,eval(m):=list(mean(b),median(b)),by = id,verbose=TRUE]gives:a b id blah foocolumns