blob: 96a797871f0e47c8e5afe2573973225584cc6949 [file] [log] [blame]
# File src/library/base/R/split.R
# Part of the R package, https://www.R-project.org
#
# Copyright (C) 1995-2018 The R Core Team
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# https://www.R-project.org/Licenses/
split <- function(x, f, drop = FALSE, ...) UseMethod("split")
split.default <- function(x, f, drop = FALSE, sep = ".", lex.order = FALSE, ...)
{
if(!missing(...)) .NotYetUsed(deparse(...), error = FALSE)
if (is.list(f))
f <- interaction(f, drop = drop, sep = sep, lex.order = lex.order)
else if (!is.factor(f)) f <- as.factor(f) # docs say as.factor
else if (drop) f <- factor(f) # drop extraneous levels
storage.mode(f) <- "integer" # some factors have had double in the past
if (is.null(attr(x, "class")))
return(.Internal(split(x, f)))
## else
ind <- .Internal(split(seq_along(x), f))
lapply(ind, function(i) x[i])
}
## This is documented to work for matrices too
split.data.frame <- function(x, f, drop = FALSE, ...)
lapply(split(x = seq_len(nrow(x)), f = f, drop = drop, ...),
function(ind) x[ind, , drop = FALSE])
`split<-` <- function(x, f, drop = FALSE, ..., value) UseMethod("split<-")
`split<-.default` <- function(x, f, drop = FALSE, ..., value)
{
ix <- split(seq_along(x), f, drop = drop, ...)
n <- length(value)
j <- 0
for (i in ix) {
j <- j %% n + 1
x[i] <- value[[j]]
}
x
}
## This is documented to work for matrices too
`split<-.data.frame` <- function(x, f, drop = FALSE, ..., value)
{
ix <- split(seq_len(nrow(x)), f, drop = drop, ...)
n <- length(value)
j <- 0
for (i in ix) {
j <- j %% n + 1
x[i,] <- value[[j]]
}
x
}
unsplit <- function (value, f, drop = FALSE)
{
len <- length(if (is.list(f)) f[[1L]] else f)
if (is.data.frame(value[[1L]])) {
x <- value[[1L]][rep(NA, len),, drop = FALSE]
rownames(x) <- unsplit(lapply(value, rownames), f, drop = drop)
} else
x <- value[[1L]][rep(NA, len)]
split(x, f, drop = drop) <- value
x
}