Get Skewed Feature Columns — hai_skewed

Takes in a data.frame/tibble and returns a vector of names of the columns that are skewed.

Usage

hai_skewed_features(.data, .threshold = 0.6, .drop_keys = NULL)

Arguments

.data: The data.frame/tibble you are passing in.
.threshold: A level of skewness that indicates where you feel a column should be considered skewed.
.drop_keys: A c() character vector of columns you do not want passed to the function.

Value

A character vector of column names that are skewed.

Details

Takes in a data.frame/tibble and returns a vector of names of the skewed columns. There are two other parameters. The first is the .threshold parameter that is set to the level of skewness you want in order to consider the column too skewed. The second is .drop_keys, these are columns you don't want to be considered for whatever reason in the skewness calculation.

Author

Steven P. Sandeson II, MPH

Examples

hai_skewed_features(mtcars)
#> [1] "mpg"  "hp"   "carb"
hai_skewed_features(mtcars, .drop_keys = c("mpg", "hp"))
#> [1] "carb"
hai_skewed_features(mtcars, .drop_keys = "hp")
#> [1] "mpg"  "carb"