lares (version 4.7)

corr: Correlation table

Description

This function correlates a whole dataframe, filtering automatically all numerical values.

Usage

corr(df, method = "pearson", ignore = NA, dummy = TRUE,
  dates = FALSE, redundant = TRUE, logs = FALSE, plot = FALSE,
  top = NA)

Arguments

df

Dataframe. It doesn't matter if it's got non-numerical columns: they will be filtered!

method

Character. Any of: c("pearson", "kendall", "spearman")

ignore

Character vector. Which columns do you wish to exlude?

dummy

Boolean. Should One Hot Encoding be applied to categorical columns?

dates

Boolean. Do you want the function to create more features out of the date/time columns?

redundant

Boolean. Should we keep redundat columns? i.e. It the column only has two different values, should we keep both new columns?

logs

Boolean. Automatically calculate log(values) for numerical variables (not binaries)

plot

Boolean. Do you wish to see a plot?

top

Integer. Select top N most relevant variables? Filtered and sorted by mean of each variable's correlations

See Also

Other Calculus: ROC, conf_mat, deg2num, dist2d, errors, loglossBinary, mae, mape, model_metrics, mse, quants, rmse, rsqa, rsq

Other Correlations: corr_cross, corr_plot, corr_var