\name{split} \title{Divide into Groups} \alias{split} \alias{split.default} \alias{split.data.frame} \alias{split<-} \alias{split<-.default} \alias{split<-.data.frame} \alias{unsplit} \description{ \code{split} divides the data in the vector \code{x} into the groups defined by \code{f}. The replacement forms replace values corresponding to such a division. \code{unsplit} reverses the effect of \code{split}. } \usage{ split(x, f, drop = FALSE, ...) split(x, f, drop = FALSE, ...) <- value unsplit(value, f, drop = FALSE) } \arguments{ \item{x}{vector or data frame containing values to be divided into groups.} \item{f}{a \dQuote{factor} in the sense that \code{\link{as.factor}(f)} defines the grouping, or a list of such factors in which case their interaction is used for the grouping.} \item{drop}{logical indicating if levels that do not occur should be dropped (if \code{f} is a \code{factor} or a list).} \item{value}{a list of vectors or data frames compatible with a splitting of \code{x}. Recycling applies if the lengths do not match.} \item{\dots}{further potential arguments passed to methods.} } \details{ \code{split} and \code{split<-} are generic functions with default and \code{data.frame} methods. \code{f} is recycled as necessary and if the length of \code{x} is not a multiple of the length of \code{f} a warning is printed. \code{unsplit} works only with lists of vectors. The data frame method can also be used to split a matrix into a list of matrices, and the replacement form likewise, provided they are invoked explicitly. Any missing values in \code{f} are dropped together with the corresponding values of \code{x}. } \value{ The value returned from \code{split} is a list of vectors containing the values for the groups. The components of the list are named by the \emph{used} factor levels given by \code{f}. (If \code{f} is longer than \code{x} then some of the components will be of zero length.) The replacement forms return their right hand side. \code{unsplit} returns a vector for which \code{split(x, f)} equals \code{value} } \seealso{ \code{\link{cut}} } \references{ Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) \emph{The New S Language}. Wadsworth \& Brooks/Cole. } \examples{ require(stats) n <- 10; nn <- 100 g <- factor(round(n * runif(n * nn))) x <- rnorm(n * nn) + sqrt(as.numeric(g)) xg <- split(x, g) boxplot(xg, col = "lavender", notch = TRUE, varwidth = TRUE) sapply(xg, length) sapply(xg, mean) ## Calculate z-scores by group z <- unsplit(lapply(split(x, g), scale), g) tapply(z, g, mean) # or z <- x split(z, g) <- lapply(split(x, g), scale) tapply(z, g, sd) ## Split a matrix into a list by columns ma <- cbind(x = 1:10, y = (-4:5)^2) split(ma, col(ma)) split(1:10, 1:2) } \keyword{category}