Applies the natural logarithm to the data set

This applies the ln function columnwise to the given input matrix and returns the modified matrix. If necessary, columns undergo a linear translation to ensure that all resulting values are >= 0.

apply_ln_transformation(data_matrix)

Arguments

data_matrix	The original data matrix.

Value

The log-transformed data matrix.

Examples

data_matrix <- matrix(1:10, dimnames = list(NULL, 'some_val'))
data_matrix
#>       some_val
#>  [1,]        1
#>  [2,]        2
#>  [3,]        3
#>  [4,]        4
#>  [5,]        5
#>  [6,]        6
#>  [7,]        7
#>  [8,]        8
#>  [9,]        9
#> [10,]       10
autovarCore:::apply_ln_transformation(data_matrix)
#>        some_val
#>  [1,] 0.0000000
#>  [2,] 0.6931472
#>  [3,] 1.0986123
#>  [4,] 1.3862944
#>  [5,] 1.6094379
#>  [6,] 1.7917595
#>  [7,] 1.9459101
#>  [8,] 2.0794415
#>  [9,] 2.1972246
#> [10,] 2.3025851