mlply {plyr} | R Documentation |
Call a multi-argument function with values taken from columns of an data frame or array, and combine results into a list
mlply(.data, .fun = NULL, ..., .expand = TRUE, .progress = "none", .parallel = FALSE)
.data |
matrix or data frame to use as source of arguments |
.fun |
function to be called with varying arguments |
... |
other arguments passed on to |
.expand |
should output be 1d (expand = FALSE), with an element for each row; or nd (expand = TRUE), with a dimension for each variable. |
.progress |
name of the progress bar to use, see
|
.parallel |
if |
The m*ply
functions are the plyr
version of
mapply
, specialised according to the type of
output they produce. These functions are just a
convenient wrapper around a*ply
with margins
= 1
and .fun
wrapped in splat
.
This function combines the result into a list. If there
are no results, then this function will return a list of
length 0 (list()
).
list of results
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/.
mlply(cbind(1:4, 4:1), rep) mlply(cbind(1:4, times = 4:1), rep) mlply(cbind(1:4, 4:1), seq) mlply(cbind(1:4, length = 4:1), seq) mlply(cbind(1:4, by = 4:1), seq, to = 20)