Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in parallel backend.
License: GNU General Public License v3.0
I have a data.frame with many missing values, although i use the "use = 'pairwise.complete.obs'", it did not work, is there any possible to delete the missing value in the data.frame? Thanks
Clusters opened with doParallel::registerDoParallel inside corrP function are not closing automatically, at least in a Shiny background.
Please check if is better to close it explicitly.
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