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.
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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.
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