plyr (version 1.0.1)

llply: Split list, apply function, and return results in a list.

Description

Split list, apply function, and return results in a list. For each element of a list, apply function then combine results into a list

Usage

llply(.data, .fun, ..., .progress="none", .inform=FALSE)

Arguments

.data

list to be processed

.fun

function to apply to each piece

...

other arguments passed on to .fun

.progress

name of the progress bar to use, see create_progress_bar

.inform

produce informative error messages? This is turned off by by default because it substantially slows processing speed, but is very useful for debugging

Value

• list of results

Details

All plyr functions use the same split-apply-combine strategy: they split the input into simpler pieces, apply .fun to each piece, and then combine the pieces into a single data structure. This function splits lists by elements and combines the result into a list. If there are no results, then this function will return a list of length 0 (list()).

llply is equivalent to lapply except that it will preserve labels and can display a progress bar.

Examples

llply(llply(mtcars, round), table)
llply(baseball, summary)
# Examples from ?lapply
x <- list(a = 1:10, beta = exp(-3:3), logic = c(TRUE,FALSE,FALSE,TRUE))

llply(x, mean)
llply(x, quantile, probs = 1:3/4)