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% File src/library/base/man/expand.grid.Rd% Part of the R package, https://www.R-project.org% Copyright 1995-2015 R Core Team% Distributed under GPL 2 or later\name{expand.grid}\title{Create a Data Frame from All Combinations of Factor Variables}\alias{expand.grid}\concept{variable combinations}\concept{variable permutations}\usage{expand.grid(\dots, KEEP.OUT.ATTRS = TRUE, stringsAsFactors = TRUE)}\arguments{\item{\dots}{vectors, factors or a list containing these.}\item{KEEP.OUT.ATTRS}{a logical indicating the \code{"out.attrs"}attribute (see below) should be computed and returned.}\item{stringsAsFactors}{logical specifying if character vectors areconverted to factors.}}\description{Create a data frame from all combinations of the supplied vectors orfactors. See the description of the return value for precise details ofthe way this is done.}\value{A data frame containing one row for each combination of the suppliedfactors. The first factors vary fastest. The columns are labelled bythe factors if these are supplied as named arguments or namedcomponents of a list. The row names are \sQuote{automatic}.Attribute \code{"out.attrs"} is a list which gives the dimension anddimnames for use by \code{\link{predict}} methods.}%% currently, from "base R", only predict.loess() makes use of it.\note{Conversion to a factor is done with levels in the orderthey occur in the character vectors (and not alphabetically, as ismost common when converting to factors).}\references{Chambers, J. M. and Hastie, T. J. (1992)\emph{Statistical Models in S.}Wadsworth & Brooks/Cole.}% there is a 'combn' in package combinat\seealso{\code{\link[utils]{combn}} (package \code{utils}) for the generationof all combinations of n elements, taken m at a time.}\examples{require(utils)expand.grid(height = seq(60, 80, 5), weight = seq(100, 300, 50),sex = c("Male","Female"))x <- seq(0, 10, length.out = 100)y <- seq(-1, 1, length.out = 20)d1 <- expand.grid(x = x, y = y)d2 <- expand.grid(x = x, y = y, KEEP.OUT.ATTRS = FALSE)object.size(d1) - object.size(d2)##-> 5992 or 8832 (on 32- / 64-bit platform)\dontshow{stopifnot(object.size(d1) > object.size(d2))}}\keyword{models}\keyword{array}