Apply common function to all data frames and return data frames with same name

Question

I\'m trying to apply a function to all similarly spelled data frames in my global environment in R. I want to apply this function to all these data frames, but I can\'t fig

Answer 1

1) environment subscripting Set e to the environment containing the data frames and then get their names and loop over them as shown:

BOD_test <- BOD  # not all columns of iris are numeric so use BOD instead
mtcars_test <- mtcars

e <- .GlobalEnv
nms <- ls(pattern = "_test$", envir = e)
for(nm in nms) e[[nm]] <- mytest_function(e[[nm]])

1a) assign An alternative to the last statement would be:

for(nm in nms) assign(nm, mytest_function( get(nm, e) ), e)

2) lists You might want, instead, to keep the data frames in a list:

L <- sapply(nms, get, envir = e, simplify = FALSE)
L[] <- lapply(L, mytest_function)

2a) sapply or if you do not want to overwrite L then:

sapply(L, mytest_function, simplify = FALSE)

Answer 2

You can use eapply to iterate over an environment and then assign to store an object to your global environment. The function argument to eapply will be an anonymous function which first gets the df from global, assigning it to a temp variable, pass it to your function and then use assign to put it back to global.

I'd show you the code, but if you can't code this yourself you really shouldn't be doing it.