Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
Fetching contributors…

Cannot retrieve contributors at this time

39 lines (27 sloc) 1.648 kb
Split list, apply function, and return results in a data frame
For each element of a list, apply function then combine results into a data frame
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
matrices, arrays and data frames by dimensions
data frames by variable
lists by elements
and combines the result into a data frame
and combines the result into an array
and combines the result into a list
and discards the output
If there are no results, then this function will return
a data frame with zero rows and columns (\code{data.frame()}).
a vector of length 0 (\code{vector()}).
a list of length 0 (\code{list()}).
See \code{vignette("intro", "plyr")} for more details, description and case studies.
@keyword manip
@arguments matrix, array or data frame to be processed
@arguments list to be processed
@arguments data frame to be processed
@arguments variables to split data frame by, as quoted variables, a formula or character vector
@arguments a vector giving the subscripts to split up \code{data} by. 1 splits up by rows, 2 by columns and c(1,2) by rows and columns, and so on for higher dimensions
@arguments function to apply to each piece
@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
@value a data frame
Jump to Line
Something went wrong with that request. Please try again.