ldply

.fun

other arguments passed on to <code>.fun</code>

name of the progress bar to use, see
  <code><a href="/link/create_progress_bar?package=plyr&version=1.6" rd-options="" data-mini-rdoc="plyr::create_progress_bar">create_progress_bar</a></code>

.progress

.data

if <code>TRUE</code>, apply function in
  parallel, using parallel backend provided by foreach

.parallel

For each element of a list, apply function then combine
  results into a data frame.

manip

plyr is a set of tools that solves a common set of
        problems: you need to break a big problem down into manageable
        pieces, operate on each pieces and then put all the pieces back
        together.  For example, you might want to fit a model to each
        spatial location or time point in your study, summarise data by
        panels or collapse high-dimensional arrays to simpler summary
        statistics. The development of plyr has been generously
        supported by BD (Becton Dickinson).

Hadley Wickham

plyr

Tools for splitting, applying and combining data

ldply function

This function splits lists by elements and combines the
  result into a data frame.

Input

The most unambiguous behaviour is achieved when
  <code>.fun</code> returns a data frame - in that case pieces
  will be combined with <code><a href="/link/rbind.fill?package=plyr&version=1.6" rd-options="" data-mini-rdoc="plyr::rbind.fill">rbind.fill</a></code>.  If
  <code>.fun</code> returns an atomic vector of fixed length, it
  will be <code>rbind</code>ed together and converted to a data
  frame. Any other values will result in an error.<p></p><p>  If there are no results, then this function will return a
  data frame with zero rows and columns
  (<code>data.frame()</code>).</p>

ldply: Split list, apply function, and return results in a data frame.

Description

Usage

Arguments

Value

Input

Output

References

See Also