This function correlates a whole dataframe with a single feature.
corr_plot(df, ignore = NA, method = "pearson", order = "FPC",
type = "square", logs = FALSE)
Dataframe.
Character vector. Which columns do you wish to exlude?
Character. Any of: c("pearson", "kendall", "spearman")
Character. The ordering method of the correlation matrix. Any of: c("original", "AOE", "FPC", "hclust", "alphabet")
Character. The visualization method of correlation matrix to be used. Any of c("circle", "square", "ellipse", "number", "pie", "shade" and "color")
Boolean. Automatically calculate log(values) for numerical variables (not binaries) and plot them
Other Visualization: distr
,
freqs_df
, freqs
,
mplot_conf
, mplot_cuts_error
,
mplot_cuts
, mplot_density
,
mplot_full
, mplot_gain
,
mplot_importance
,
mplot_lineal
, mplot_metrics
,
mplot_response
, mplot_roc
,
mplot_splits
, noPlot
,
plot_survey
, theme_lares2
,
theme_lares
, tree_var
Other Correlations: corr_cross
,
corr_var
, corr