maply {plyr} | R Documentation |
Call a multi-argument function with values taken from columns of an data frame or array, and combine results into an array
maply(.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 an array. If
there are no results, then this function will return a
vector of length 0 (vector()
).
if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)
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/.
maply(cbind(mean = 1:5, sd = 1:5), rnorm, n = 5) maply(expand.grid(mean = 1:5, sd = 1:5), rnorm, n = 5) maply(cbind(1:5, 1:5), rnorm, n = 5)