cor2: cor2: Compute correlations of columns of a dataframe of mixed...
In talegari/sidekicks: A Misc Set of Functions for Data Analysis

Description Usage Arguments Details Value Examples

Compute correlations of columns of a dataframe of mixed types. The dataframe is allowed to have columns of these four classes: integer, numeric, factor and character. The character column is considered as categorical variable.

1	cor2(df, nproc = 1)

`df`	input data frame
`nproc`	Number of parallel processes to use

The correlation is computed as follows:

integer/numeric pair: pearson correlation using 'cor' function. The valuelies between -1 and 1.
integer/numeric - factor/categorical pair: Anova is performed and effect size is computed . The value lies between 0 and 1.
factor/categorical pair: cramersV value is computed based on chisq test using 'lsr::cramersV' function. The value lies between 0 and 1.

Pairwise complete observations are used to compute correlation. For a comprehensive implementation, use 'polycor::hetcor'

A simil/dist object.