Automatic Correlation Method Selection Based on Variable Types

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Documentation for package ‘smartcor’ version 1.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

available_methods	Which Methods Apply to a Pair of Variable Types
compare_methods	Run Every Applicable Method on One Pair
detect_outliers	Flag Outliers with the Outer-Fence Rule
detect_type	Detect the Statistical Type of a Variable
ggcor	ggplot2 Heatmaps for Smart Correlation Matrices
ggcor_heatmap	ggplot2 Heatmaps for Smart Correlation Matrices
ggcor_method_heatmap	ggplot2 Heatmaps for Smart Correlation Matrices
plot.smartcormat	Plot a Correlation Heatmap
plot_cor_heatmap	Plot a Correlation Heatmap
print.smartcor	Print a smartcor Object
print.smartcormat	Print a smartcormat Object
print.smartcor_comparison	Print a Method Comparison
print.smartcor_lintest	Print a Linearity Test
print.smartcor_normtest	Print a Normality Test
print.smartcor_outliers	Flag Outliers with the Outer-Fence Rule
smart_cor	Choose and Compute a Correlation
smart_cormat	Build a Mixed-Type Correlation Matrix
smart_cor_df	Correlation Matrix as Plain Data Frames
test_bivariate_normality	Test Bivariate Normality for a Pair of Variables
test_linearity	Test Linearity Using Ordered Regression Residuals
tidy.smartcor	Tidy a smartcor Object
tidy.smartcormat	Tidy a smartcormat Object
tidy.smartcor_comparison	Tidy a smartcor Comparison