Normalize rows or columns by its standard deviation.

Usage

normalize(x, normalize = 0, ...)

Arguments

x: matrix
normalize: A numeric value indicating along what direction (rows, columns) to normalize by standard deviations. 0 = none, 1= rows, 2 = columns (default is 0).
...: Not evaluated.

Value

Not yet defined TODO!

Examples

x <- matrix(sample(1:5, 20, rep = TRUE), 4)
normalize(x, 1) # normalizing rows
#>          [,1]     [,2]      [,3]     [,4]     [,5]
#> [1,] 1.533930 2.300895 3.0678600 0.766965 3.067860
#> [2,] 1.825742 1.825742 0.9128709 1.825742 3.651484
#> [3,] 0.559017 0.559017 1.6770510 0.559017 2.795085
#> [4,] 1.118034 3.354102 3.3541020 2.236068 3.354102
#> attr(,"scaled:scale")
#> [1] 1.3038405 1.0954451 1.7888544 0.8944272
normalize(x, 2) # normalizing columns
#>          [,1]     [,2]      [,3]     [,4]     [,5]
#> [1,] 3.464102 3.133398 3.1788777 1.732051 4.898979
#> [2,] 3.464102 2.088932 0.7947194 3.464102 4.898979
#> [3,] 1.732051 1.044466 2.3841582 1.732051 6.123724
#> [4,] 1.732051 3.133398 2.3841582 3.464102 3.674235
#> attr(,"scaled:scale")
#> [1] 0.5773503 0.9574271 1.2583057 0.5773503 0.8164966