@@ -12,4 +12,6 @@ It's already possible to do this with built-in functions (like split and the app * progress bars to keep track of long running operations * built-in error recovery, and informative error messages +Some considerable effort has been put into making plyr fast and memory efficient, and in most cases it is faster than the built-in functions. + You can find out more at http://had.co.nz/plyr/, including a 20 page introductory guide, http://had.co.nz/plyr/plyr-intro.pdf. You can ask questions about plyr (and data-manipulation in general) on the plyr mailing list. Sign up at http://groups.google.com/group/manipulatr ANNOUNCE @@ -90,7 +90,6 @@ llply <- function(.data, .fun = NULL, ..., .progress = "none", .inform = FALSE) # @arguments other arguments passed on to \code{.fun} # @arguments name of the progress bar to use, see \code{\link{create_progress_bar}} # @value if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions) -# @value list of results #X linmod <- function(df) lm(rbi ~ year, data = transform(df, year = year - min(year))) #X models <- dlply(baseball, .(id), linmod) #X models[[1]] R/ply-list.r @@ -8,6 +8,7 @@ This data frame contains batting statistics for a subset of players collected fr Variables: +\itemize{ \item id, unique player id \item year, year of data \item stint @@ -30,7 +31,7 @@ Variables: \item sh, sacrifice hits \item sf, sacrifice flies \item gidp, ground into double play - +} } \usage{data(baseball)} \format{A 21699 x 22 data frame} man/data-baseball.rd @@ -15,10 +15,7 @@ For each subset of a data frame, apply function then combine results into a lis \item{.progress}{name of the progress bar to use, see \code{\link{create_progress_bar}}} \item{.drop}{} } -\value{ - \item{if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)} - \item{list of results} -} +\value{if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)} \details{All plyr functions use the same split-apply-combine strategy: they split the input into simpler pieces, apply \code{.fun} to each piece, and then combine the pieces into a single data structure. This function splits data frames man/dlply-7t.rd @@ -14,5 +14,8 @@ Combine multiple functions to a single function returning a named vector of outp \details{Each function should produce a single number as output} \examples{each(min, max)(1:10) +each("min", "max")(1:10) +each(c("min", "max"))(1:10) +each(c(min, max))(1:10) each(length, mean, var)(rnorm(100))} \keyword{manip} man/each-4v.rd 9a66056401d24619e7230b0ee93bc98e873d0fec hadley h.wickham@gmail.com http://github.com/hadley/plyr/commit/83db497f41e8280594b7a696bedc774796cbde2e 83db497f41e8280594b7a696bedc774796cbde2e 2009-04-15T05:39:59-07:00 2009-04-15T05:39:59-07:00 Documentation fixes 94f0bb2974bdc93959ee39be592897b4fc94fe5b hadley h.wickham@gmail.com