Split list, apply function, and return results in a list.
For each element of a list, apply function, keeping results as a list.
llply( .data, .fun = NULL, ..., .progress = "none", .inform = FALSE, .parallel = FALSE, .paropts = NULL )
.data |
list to be processed |
.fun |
function to apply to each piece |
... |
other arguments passed on to |
.progress |
name of the progress bar to use, see
|
.inform |
produce informative error messages? This is turned off by default because it substantially slows processing speed, but is very useful for debugging |
.parallel |
if |
.paropts |
a list of additional options passed into
the |
llply is equivalent to lapply except that it will
preserve labels and can display a progress bar.
list of results
This function splits lists by elements.
If there are no results, then this function will return
a list of length 0 (list()).
Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. http://www.jstatsoft.org/v40/i01/.
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)
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