Compute mean and standard deviation of the correlation matrix

Computes the mean and standard deviation of the correlation matrix using the big_apply function.

Usage

get_dstat(corr_matrix)

Arguments

corr_matrix

An FBM object.

Value

A list with statistical measures including mean, sd, var, sn, min, and max.

See also

big_apply, FBM

Examples

s_mat <- Matrix::rsparsematrix(nrow = 10, ncol = 5, density = 0.3)
# Convert the sparse matrix to an FBM using your function
fbm_mat <- sparse_to_fbm(s_mat)
result <- get_dstat(fbm_mat)
str(result)
#> List of 6
#>  $ mean: num -0.105
#>  $ var : num 0.2
#>  $ sd  : num 0.447
#>  $ sn  : num -4.27
#>  $ min : num -2.3
#>  $ max : num 0.71
result
#> $mean
#> [1] -0.1046
#> 
#> $var
#> [1] 0.1998092
#> 
#> $sd
#> [1] 0.4470002
#> 
#> $sn
#> [1] -4.273425
#> 
#> $min
#> [1] -2.3
#> 
#> $max
#> [1] 0.71
#>