d_ply {plyr} | R Documentation |
For each subset of a data frame, apply function and discard results
d_ply(.data, .variables, .fun = NULL, ..., .progress = "none", .inform = FALSE, .drop = TRUE, .print = FALSE, .parallel = FALSE, .paropts = NULL)
.fun |
function to apply to each piece |
... |
other arguments passed on to |
.progress |
name of the progress bar to use, see
|
.parallel |
if |
.paropts |
a list of additional options passed into
the |
.inform |
produce informative error messages? This is turned off by by default because it substantially slows processing speed, but is very useful for debugging |
.data |
data frame to be processed |
.variables |
variables to split data frame by, as
|
.drop |
should combinations of variables that do not appear in the input data be preserved (FALSE) or dropped (TRUE, default) |
.print |
automatically print each result? (default:
|
Nothing
This function splits data frames by variables.
All output is discarded. This is useful for functions that you are calling purely for their side effects like displaying plots or saving output.
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/.
Other data frame input: daply
,
ddply
, dlply
Other no output: a_ply
,
l_ply
, m_ply