I'm trying to do something similar but different enough from what's described here: Update subset of data.table based on join
Specifically, I'd like to assign to matching key values (person_id is a key in both tables) column values from table control. CI is the column index. The statement below says 'with=F' was not used. when I delete those parts, it also doesn't work as expected. Any suggestions?
To rephrase: I'd like to set the subset of flatData that corresponds to control FROM control.
flatData[J(eval(control$person_id)), ci, with=F] = control[, ci, with=F]
To give a reproducible example using classic R:
x = data.frame(a = 1:3, b = 1:3, key = c('a', 'b', 'c'))
y = data.frame(a = c(2, 5), b = c(11, 2), key = c('a', 'b'))
colidx = match(c('a', 'b'), colnames(y))
x[x$key %in% y$key, colidx] = y[, colidx]
As an aside, someone please explain how to easily assign SETS of columns without using indices! Indices and data.table are a marriage made in hell.