Correlation matrices over the numeric columns, using pairwise-complete observations.
Usage
correlation_analysis(df, types = NULL, method = c("pearson", "spearman"))Value
A named list of correlation matrices (one per requested method), or
NULL if there are fewer than two numeric columns.
Examples
correlation_analysis(iris)
#> $pearson
#> Sepal.Length Sepal.Width Petal.Length Petal.Width
#> Sepal.Length 1.0000000 -0.1175698 0.8717538 0.8179411
#> Sepal.Width -0.1175698 1.0000000 -0.4284401 -0.3661259
#> Petal.Length 0.8717538 -0.4284401 1.0000000 0.9628654
#> Petal.Width 0.8179411 -0.3661259 0.9628654 1.0000000
#>
#> $spearman
#> Sepal.Length Sepal.Width Petal.Length Petal.Width
#> Sepal.Length 1.0000000 -0.1667777 0.8818981 0.8342888
#> Sepal.Width -0.1667777 1.0000000 -0.3096351 -0.2890317
#> Petal.Length 0.8818981 -0.3096351 1.0000000 0.9376668
#> Petal.Width 0.8342888 -0.2890317 0.9376668 1.0000000
#>