Adjust P-values for Multiple Comparisons
Create Nice Summary Tables of ANOVA Results
Convert a Correlation Test Data Frame into a Correlation Matrix
Box's M-test for Homogeneity of Covariance Matrices
Compute Cohen's d Measure of Effect Size
Replace Correlation Coefficients by Symbols
Add Significance Levels To a Correlation Matrix
Compute Correlation Matrix with P-values
Visualize Correlation Matrix Using Base Plot
Convert a Table of Counts into a Data Frame of cases
Group a Data Frame by One or more Variables
Functions to Label Data Frames by Grouping Variables
Alternative to dplyr::do for Doing Anything
Pairwise Comparisons of Estimated Marginal Means
Friedman Test Effect Size (Kendall's W Value)
Create a List of Possible Comparisons Between Groups
Autocompute P-value Positions For Plotting Significance
Extract Label Information from Statistical Tests
Compute Mahalanobis Distance and Flag Multivariate Outliers
McNemar's Chi-squared Test for Count Data
Identify Univariate Outliers Using Boxplot Methods
Pull Lower and Upper Triangular Part of a Matrix
Remove Non-Significant from Statistical Tests
Replace Lower and Upper Triangular Part of a Matrix