Split an array by .margins. Split a 2d or higher data structure into
lower-d pieces based
Usage
splitter_a(data, .margins=1, .expand=TRUE)
Arguments
data
>1d data structure (matrix, data.frame or array)
.margins
a vector giving the subscripts to split up data by.
.expand
if splitting a dataframe by row, should output be 1d
(expand = FALSE), with an element for each row; or nd (expand = TRUE),
with a dimension for each variable.
Value
a list of lower-d slices, with attributes that record split details
Details
This is the workhorse of the a*ply functions. Given a >1 d
data structure (matrix, array, data.frame), it splits it into pieces
based on the subscripts that you supply. Each piece is a lower
dimensional slice.
The margins are specified in the same way as apply, but
splitter_a just splits up the data, while apply also
applies a function and combines the pieces back together. This
function also includes enough information to recreate the split from
attributes on the list of pieces.