MINE family values

Calculates MINE family values for every numeric variable pair in a dataset.

Usage

pair_mine(d, method = "MIC", handle.na = TRUE, ...)

Arguments

d

A dataframe

method

character vector for the MINE value to be calculated. Subset of "MIC","MAS","MEV","MCN","MICR2", "GMIC", "TIC"

handle.na

If TRUE uses pairwise complete observations to calculate score, otherwise NAs not handled.

...

other arguments

Value

A tibble of class pairwise with scores for numeric variable pairs, or NULL if there are not at least two numeric variables

Details

The values are calculated using mine from minerva

References

Reshef, David N., et al. "Detecting novel associations in large data sets." science 334.6062 (2011): 1518-1524

Examples

 pair_mine(iris)
#> # A tibble: 6 × 6
#>   x            y            score group value pair_type
#>   <chr>        <chr>        <chr> <chr> <dbl> <chr>    
#> 1 Petal.Length Petal.Width  MIC   all   0.918 nn       
#> 2 Petal.Length Sepal.Length MIC   all   0.768 nn       
#> 3 Petal.Length Sepal.Width  MIC   all   0.439 nn       
#> 4 Petal.Width  Sepal.Length MIC   all   0.668 nn       
#> 5 Petal.Width  Sepal.Width  MIC   all   0.435 nn       
#> 6 Sepal.Length Sepal.Width  MIC   all   0.277 nn       
 pair_mine(iris, method="MAS")
#> # A tibble: 6 × 6
#>   x            y            score group  value pair_type
#>   <chr>        <chr>        <chr> <chr>  <dbl> <chr>    
#> 1 Petal.Length Petal.Width  MAS   all   0.0803 nn       
#> 2 Petal.Length Sepal.Length MAS   all   0.0665 nn       
#> 3 Petal.Length Sepal.Width  MAS   all   0.109  nn       
#> 4 Petal.Width  Sepal.Length MAS   all   0.0365 nn       
#> 5 Petal.Width  Sepal.Width  MAS   all   0.0729 nn       
#> 6 Sepal.Length Sepal.Width  MAS   all   0.0501 nn