maply | 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",
.inform = FALSE,
.drop = TRUE,
.parallel = FALSE,
.paropts = NULL
)
.data |
matrix or data frame to use as source of arguments |
.fun |
function to apply to each piece |
... |
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
|
.inform |
produce informative error messages? This is turned off by default because it substantially slows processing speed, but is very useful for debugging |
.drop |
should extra dimensions of length 1 in the output be
dropped, simplifying the output. Defaults to |
.parallel |
if |
.paropts |
a list of additional options passed into
the |
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
.
if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)
Call a multi-argument function with values taken from columns of an data frame or array
If there are no results, then this function will return a vector of
length 0 (vector()
).
Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. https://www.jstatsoft.org/v40/i01/.
Other multiple arguments input:
m_ply()
,
mdply()
,
mlply()
Other array output:
aaply()
,
daply()
,
laply()
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)
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