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Reorder an Array or Matrix

reorder.array.Rd

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

Usage

# S3 method for class 'array'
reorder(x,dim=1,names=NULL,indices=NULL,FUN=mean,...)
# S3 method for class '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.

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)).

Value

The reordered object x.

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  1.8743386 -1.306719969  0.10740376  0.2539096 -2.0246515
#> B -0.4549758 -0.617825577 -0.96500473  1.1744065 -1.0179494
#> C  0.3976505 -0.785040344 -1.44962002 -0.6803192 -0.1569594
#> D -0.4710842 -0.001056473  0.30988795  0.2582959 -1.1550237
#> E -0.7351499 -1.416252938 -0.07050849  0.4159256  0.5324802
  reorder(M,dim=1,names=c("E","A"))
#>            a            b           c          d          e
#> E -0.7351499 -1.416252938 -0.07050849  0.4159256  0.5324802
#> A  1.8743386 -1.306719969  0.10740376  0.2539096 -2.0246515
#> B -0.4549758 -0.617825577 -0.96500473  1.1744065 -1.0179494
#> C  0.3976505 -0.785040344 -1.44962002 -0.6803192 -0.1569594
#> D -0.4710842 -0.001056473  0.30988795  0.2582959 -1.1550237
  reorder(M,dim=2,indices=3:1)
#>             c            b          a          d          e
#> A  0.10740376 -1.306719969  1.8743386  0.2539096 -2.0246515
#> B -0.96500473 -0.617825577 -0.4549758  1.1744065 -1.0179494
#> C -1.44962002 -0.785040344  0.3976505 -0.6803192 -0.1569594
#> D  0.30988795 -0.001056473 -0.4710842  0.2582959 -1.1550237
#> E -0.07050849 -1.416252938 -0.7351499  0.4159256  0.5324802
  reorder(M,dim=1)
#>            a            b           c          d          e
#> C  0.3976505 -0.785040344 -1.44962002 -0.6803192 -0.1569594
#> B -0.4549758 -0.617825577 -0.96500473  1.1744065 -1.0179494
#> E -0.7351499 -1.416252938 -0.07050849  0.4159256  0.5324802
#> A  1.8743386 -1.306719969  0.10740376  0.2539096 -2.0246515
#> D -0.4710842 -0.001056473  0.30988795  0.2582959 -1.1550237
  reorder(M,dim=2)
#>              b          e           c          a          d
#> A -1.306719969 -2.0246515  0.10740376  1.8743386  0.2539096
#> B -0.617825577 -1.0179494 -0.96500473 -0.4549758  1.1744065
#> C -0.785040344 -0.1569594 -1.44962002  0.3976505 -0.6803192
#> D -0.001056473 -1.1550237  0.30988795 -0.4710842  0.2582959
#> E -1.416252938  0.5324802 -0.07050849 -0.7351499  0.4159256