Simulating Thousands of Regressions and Obtaining p-Values: A Statistical Analysis Approach Using R Programming Language

Adjusting for Age Effect in ANOVA: Choosing Between ANCOVA and Mixed-Effects Models

Aggregating Beta and Co-Skewness per Year Using User-Defined Functions and Regression Analysis in R

Identifying Outliers with the Highest Squared Residuals under Linear Regression in R

Extracting Coeftest Results into a Data Frame in R