laply {plyr} | R Documentation |
For each element of a list, apply function then combine results into an array
laply(.data, .fun = NULL, ..., .progress = "none", .drop = TRUE)
.data |
input list |
.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 |
.drop |
should extra dimensions of length 1 be dropped, simplifying the output. Defaults to TRUE |
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 an array. If there are no results,
then this function will return a vector of length 0 (vector()
).
laply
is very similar in spirit to sapply
except that
it will always return an array, and the output is transposed with respect
sapply
- each element of the list corresponds to a column, not a
row.
@keyword manip
@arguments input list
@arguments function to apply to each piece
@arguments other arguments passed on to .fun
@arguments name of the progress bar to use, see create_progress_bar
@arguments should extra dimensions of length 1 be dropped, simplifying the output. Defaults to TRUE
@value if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)
if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)
Hadley Wickham <h.wickham@gmail.com>
laply(baseball, is.factor) # cf ldply(baseball, is.factor) colwise(is.factor)(baseball) laply(seq_len(10), identity) laply(seq_len(10), rep, times = 4) laply(seq_len(10), matrix, nrow = 2, ncol = 2)