Does replyr::let work with data.table?

I’ve been asked if the adapter “let” from our R package replyr works with data.table.

My answer is: it does work. I am not a data.table user so I am not the one to ask if data.table benefits a from a non-standard evaluation to standard evaluation adapter such as replyr::let.

Using replyr::let with data.table looks like the following:

library("data.table")library("replyr")data("iris", package= "datasets")iris.dt <- data.table(iris)# non-standard evaluation, column names hard-codediris.dt[, mean(Sepal.Length), by=Species]# standard evaluation, column names parameterizedlet(  list(GROUPCOL='Species', DATACOL='Sepal.Length'),  iris.dt[, mean(DATACOL), by=GROUPCOL])# alternate (development/Github) operator notations:# "let in"list(GROUPCOL='Species', DATACOL='Sepal.Length') %:%  iris.dt[, mean(DATACOL), by=GROUPCOL]# "eval over"iris.dt[, mean(DATACOL), by=GROUPCOL] %//%  list(GROUPCOL='Species', DATACOL='Sepal.Length')

I’ve generated some timings to show there is some overhead in the translation (especially on trivial examples):

If any data.table users want to comment if this is useful or not, I’d be happy to hear from you.