ldply(.data, .fun = NULL, ..., .progress = "none", .inform = FALSE,
.parallel = FALSE, .paropts = NULL, .id = NA)
.fun
create_progress_bar
TRUE
, apply function in parallel, using parallel
backend provided by foreachforeach
function when parallel computation
is enabled. This is important if (for example) your code relies on
external data or packages: use the .e
.data
is a named list).
Pass NULL
to avoid creation of the index column. For compatibility,
omit this argument or pass NA
to avoid converting the index column
to a factor; in this ca.fun
returns a
data frame - in that case pieces will be combined with
rbind.fill
. If .fun
returns an atomic vector of
fixed length, it will be rbind
ed together and converted to a data
frame. Any other values will result in an error. If there are no results, then this function will return a data
frame with zero rows and columns (data.frame()
).
adply
;
ddply
; mdply