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2008-09-15 Basic combinatorial documentation for plyr functions
1 Split list, apply function, and return results in a data frame
2 For each element of a list, apply function then combine results into a data frame
3
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2008-10-07 Use . as prefix, not suffix
4 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
f3126e0b »
2008-09-15 Basic combinatorial documentation for plyr functions
5
6 matrices, arrays and data frames by dimensions
7 data frames by variable
8 lists by elements
9
10 and combines the result into a data frame
11 and combines the result into an array
12 and combines the result into a list
13 and discards the output
14
15 If there are no results, then this function will return
16
17 a data frame with zero rows and columns (\code{data.frame()}).
18 a vector of length 0 (\code{vector()}).
19 a list of length 0 (\code{list()}).
20
21 See \code{vignette("intro", "plyr")} for more details, description and case studies.
22
23 @keyword manip
24
25 @arguments matrix, array or data frame to be processed
26 @arguments list to be processed
27 @arguments data frame to be processed
28
29 @arguments variables to split data frame by, as quoted variables, a formula or character vector
30 @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
31
32 @arguments function to apply to each piece
6b4111e8 »
2008-10-07 Use . as prefix, not suffix
33 @arguments other arguments passed on to \code{.fun}
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2008-09-15 Basic combinatorial documentation for plyr functions
34 @arguments name of the progress bar to use, see \code{\link{create_progress_bar}}
35
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36 @value if results are atomic with same type and dimensionality, a vector, matrix or array; otherwise, a list-array (a list with dimensions)
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2008-09-15 Basic combinatorial documentation for plyr functions
37 @value list of results
38 @value a data frame
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