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...ength(rhs)) stop("length(lhs) not equal to length(rhs)") list2env(`names<-`(rhs, lhs), envir = parent.frame()) invisible() } but as you say, the input needs to be converted to a list, and it calls several R functions, which led me to end up writing `%=%` in C: https://github.com/SebKrantz/collapse/blob/master/src/small_helper.c#L162. This implementation works in the way you describe, i.e. it has separate methods for all the standard vector types, and coerces to list otherwise. That being said, all implementations in packages falls short of being very useful, because R CMD Check it...

...to > length(rhs)") > ?? list2env(`names<-`(rhs, lhs), envir = parent.frame()) > ?? invisible() > } > > but as you say, the input needs to be converted to a list, and it calls > several R functions, which led me to end up writing `%=%` in C: > https://github.com/SebKrantz/collapse/blob/master/src/small_helper.c#L162 <https://github.com/SebKrantz/collapse/blob/master/src/small_helper.c#L162>. > This implementation works in the way you describe, i.e. it has separate > methods for all the standard vector types, and coerces to list otherwise. > > Tha...

I think the standard way to do this in R is given by list2env(), as described in a couple of answers on the SO page you linked. The syntax you proposed would be likely to be confusing in complex expressions, e.g. f(A, C, Q, R = init_matrices(X, Y, Z)) would obviously not work but wouldn't trigger a syntax error, and f((A, C, Q, R = init_matrices(X, Y, Z))) could work, but looks

Dear Developers, Having spent time developing and thinking about how data aggregation and summary statistics can be enhanced in R, I would like to present my ideas/efforts in the form of two commands: The first, which for now I called 'collap', is an upgrade of aggregate that accommodates and extends the functionality of aggregate in various respects, most importantly to work with