Calculates multiple scores — pairwise

Calculates multiple scores for every variable pair in a dataset.

Usage

pairwise_multi(
  d,
  scores = c("pair_cor", "pair_dcor", "pair_mine", "pair_ace", "pair_cancor", "pair_nmi",
    "pair_uncertainty", "pair_chi"),
  handle.na = TRUE
)

Arguments

d: dataframe
scores: a vector naming functions returning a pairwise from a dataset.
handle.na: If TRUE uses pairwise complete observations to calculate pairwise score, otherwise NAs not handled.

Value

tibble of class "pairwise"

Examples

iris1 <- iris
iris1$Sepal.Length <- cut(iris1$Sepal.Length,3)
pairwise_multi(iris1)
#> # A tibble: 44 × 6
#>    x            y            score    group value pair_type
#>    <chr>        <chr>        <chr>    <chr> <dbl> <chr>    
#>  1 Petal.Length Petal.Width  pearson  all   0.963 nn       
#>  2 Petal.Length Petal.Width  dcor     all   0.974 nn       
#>  3 Petal.Length Petal.Width  MIC      all   0.918 nn       
#>  4 Petal.Length Petal.Width  ace      all   0.989 nn       
#>  5 Petal.Length Petal.Width  cancor   all   0.963 nn       
#>  6 Petal.Length Petal.Width  nmi      all   0.835 nn       
#>  7 Petal.Length Petal.Width  spearman all   0.938 nn       
#>  8 Petal.Length Sepal.Length ace      all   0.865 fn       
#>  9 Petal.Length Sepal.Length cancor   all   0.860 fn       
#> 10 Petal.Length Sepal.Length nmi      all   0.539 fn       
#> # ℹ 34 more rows