So I'm new to data.table and don't understand now I can modify by reference at the same time that I perform an operation on chosen columns using the .SD
symbol? I have two examples.
Example 1
> DT <- data.table("group1:1" = 1, "group1:2" = 1, "group2:1" = 1)
> DT
group1:1 group1:2 group2:1
1: 1 1 1
Let's say for example I simply to choose only columns which contain "group1:" in the name. I know it's pretty straightforward to just reassign the result of operation to the same object like so:
cols1 <- names(DT)[grep("group1:", names(DT))]
DT <- DT[, .SD, .SDcols = cols1]
From reading the data.table
vignette on reference-semantics my understanding is that the above does not modify by reference, whereas a similar operation that would use the :=
would do so. Is this accurate? If that's correct Is there a better way to do this operation that does modify by reference? In trying to figure this out I got stuck on how to combine the .SD
symbol and the :=
operator. I tried
DT[, c(cols1) := .SD, .SDcols = cols1]
DT[, c(cols1) := lapply(.SD,function(x)x), .SDcols = cols1]
neither of which gave the result I wanted.
Example 2
Say I want to perform a different operation dcast
that uses .SD
as input. Example data table:
> DT <- data.table(x = c(1,2,1,2), y = c("A","A","B","B"), z = 5:8)
> DT
x y z
1: 1 A 5
2: 2 A 6
3: 1 B 7
4: 2 B 8
Again, I know I can just reassign like so:
> DT <- dcast(DT, x ~ y, value.var = "z")
> DT
x A B
1: 1 5 7
2: 2 6 8
But don't understand why the following does not work (or whether it would be preferable in some circumstances):
> DT <- data.table(x = c(1,2,1,2), y = c("A","A","B","B"), z = 5:8)
> cols <- c("x", unique(DT$y))
> DT[, cols := dcast(.SD, x ~ y, value.var = "z")]