reorder.array memisc 0.99.20.1

Reorder an Array or Matrix

Description

reorder.array reorders an array along a specified dimension according given names, indices or results of a function applied.

Usage

## S4 method for signature 'array'
reorder(x,dim=1,names=NULL,indices=NULL,FUN=mean,...)
## S4 method for signature 'matrix'
reorder(x,dim=1,names=NULL,indices=NULL,FUN=mean,...)

Arguments

x

An array

dim

An integer specifying the dimension along which x should be ordered.

names

A character vector

indices

A numeric vector

FUN

A function that can be used in apply(x,dim,FUN)

...

further arguments, ignored.

Value

The reordered object x.

Details

Typical usages are

reorder(x,dim,names)
reorder(x,dim,indices)
reorder(x,dim,FUN)

The result of rename(x,dim,names) is x reordered such that dimnames(x)[[dim]] is equal to the concatenation of those elements of names that are in dimnames(x)[[dim]] and the remaining elements of dimnames(x)[[dim]].

The result of rename(x,dim,indices) is x reordered along dim according to indices.

The result of rename(x,dim,FUN) is x reordered along dim according to order(apply(x,dim,FUN)).

See also

The default method of reorder in package stats.

Examples

(M <- matrix(rnorm(n=25),5,5,dimnames=list(LETTERS[1:5],letters[1:5])))
           a          b          c          d           e
A  0.7341410 -0.7576405  2.2486328  0.8347612 -1.01033778
B -0.8300679 -0.9868882 -0.8295705  1.4926334  0.04336509
C  0.9205102  0.9412825  2.4673668  0.3822467 -0.97064760
D  0.5141975  0.1228477 -1.2796099 -1.1406843 -1.01391489
E -1.7228716 -0.4889968 -0.9487092  1.1529502 -1.24634339
reorder(M,dim=1,names=c("E","A"))
           a          b          c          d           e
E -1.7228716 -0.4889968 -0.9487092  1.1529502 -1.24634339
A  0.7341410 -0.7576405  2.2486328  0.8347612 -1.01033778
B -0.8300679 -0.9868882 -0.8295705  1.4926334  0.04336509
C  0.9205102  0.9412825  2.4673668  0.3822467 -0.97064760
D  0.5141975  0.1228477 -1.2796099 -1.1406843 -1.01391489
reorder(M,dim=2,indices=3:1)
           c          b          a          d           e
A  2.2486328 -0.7576405  0.7341410  0.8347612 -1.01033778
B -0.8295705 -0.9868882 -0.8300679  1.4926334  0.04336509
C  2.4673668  0.9412825  0.9205102  0.3822467 -0.97064760
D -1.2796099  0.1228477  0.5141975 -1.1406843 -1.01391489
E -0.9487092 -0.4889968 -1.7228716  1.1529502 -1.24634339
reorder(M,dim=1)
           a          b          c          d           e
E -1.7228716 -0.4889968 -0.9487092  1.1529502 -1.24634339
D  0.5141975  0.1228477 -1.2796099 -1.1406843 -1.01391489
B -0.8300679 -0.9868882 -0.8295705  1.4926334  0.04336509
A  0.7341410 -0.7576405  2.2486328  0.8347612 -1.01033778
C  0.9205102  0.9412825  2.4673668  0.3822467 -0.97064760
reorder(M,dim=2)
            e          b          a          c          d
A -1.01033778 -0.7576405  0.7341410  2.2486328  0.8347612
B  0.04336509 -0.9868882 -0.8300679 -0.8295705  1.4926334
C -0.97064760  0.9412825  0.9205102  2.4673668  0.3822467
D -1.01391489  0.1228477  0.5141975 -1.2796099 -1.1406843
E -1.24634339 -0.4889968 -1.7228716 -0.9487092  1.1529502