Data.table | .SD lapply multiple columns in `...` -Argument

Question

How can I use a fixed specific column argument ... lapply(.SD, FUN, ...)

Example

DT <- data.table(id_column = rnorm(10),
                 x1 = rnorm(10), x2 = rnorm(10), x3 = rnorm(10))
measure_col = paste0("x",1:3)

DT[,lapply(.SD, cov, y=id_column), .SDcols = measure_col]

Results in

Error in is.data.frame(y) : object 'id_column' not found

A possible workaround would be

DT[,lapply(.SD, cov, y = DT[,id_column]), .SDcols = measure_col]
          x1         x2        x3
1: 0.1703253 -0.2831533 0.3387133

Is there a better way to do this? Not referring to y ony=DT[,id_column]

Answer 1

Problem # 495 is now resolved with this recent commit , now we can do it just fine:

require(data.table) # v1.9.7+
DT <- data.table(id_column = rnorm(10), x1 = rnorm(10), x2 = rnorm(10), x3 = rnorm(10))
measure_col = paste0("x",1:3)    
DT[,lapply(.SD, cov, y=id_column), .SDcols = measure_col]
#             x1        x2         x3
# 1: -0.03137294 0.1903654 -0.1493648