| morder | R Documentation | 
big.matrix'' and  matrix” objectsThe morder function returns a permutation of row
indices which can be used to rearrange an object according to the values
in the specified columns (a multi-column ordering).
The mpermute function actually reorders the rows of a
big.matrix or matrix based on
an order vector or a desired ordering on a set of columns.
morder(x, cols, na.last = TRUE, decreasing = FALSE)
morderCols(x, rows, na.last = TRUE, decreasing = FALSE)
mpermute(x, order = NULL, cols = NULL, allow.duplicates = FALSE, ...)
mpermuteCols(x, order = NULL, rows = NULL, allow.duplicates = FALSE, ...)
x | 
 A   | 
cols | 
 The columns of   | 
na.last | 
 for controlling the treatment of   | 
decreasing | 
 logical. Should the sort order be increasing or decreasing?  | 
rows | 
 The rows of   | 
order | 
 A vector specifying the reordering of rows, i.e. the
result of a call to   | 
allow.duplicates | 
 ff   | 
... | 
 optional parameters to pass to   | 
The morder function behaves similar to order,
returning a permutation of 1:nrow(x) which rearranges objects
according to the values in the specified columns. However, morder
takes a big.matrix or an R matrix (with numeric type) and
a set of columns (cols) with which to determine the ordering;
morder does not incur the same memory overhead required by
order, and runs more quickly.
The mpermute function changes the row ordering of a big.matrix
or matrix based on a vector order or an ordering based
on a set of columns specified by cols.  It should be noted that
this function has side-effects, that is x is changed when this
function is called.
morder returns an ordering vector.
mpermute returns nothing but does change the contents of x.
This type of a side-effect is generally frowned upon in R, but we “break”
the rules here to avoid memory overhead and improve performance.
Michael J. Kane bigmemoryauthors@gmail.com
order
m = matrix(as.double(as.matrix(iris)), nrow=nrow(iris))
morder(m, 1)
order(m[,1])
m[order(m[,1]), 2]
mpermute(m, cols=1)
m[,2]
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