Tingyu ZouUnderstanding the Importance of Contrasts in Type III ANOVA and BeyondWhen performing Type III ANOVA in R, using the correct contrasts for categorical variables is crucial. By default, R uses treatment…Sep 16Sep 16
Tingyu ZouWhy Your Type III ANOVA in Mixed Models Is Slow: Kenward-Roger vs. SatterthwaiteIf you’re running Type III ANOVA on mixed models and noticing long delays, it’s probably because you’re using the car package, which…Sep 14Sep 14
Tingyu ZouHow to Avoid Mistakes in Type III ANOVA by Using the Right ContrastsWhen conducting Type III ANOVA in R, one of the most common pitfalls is not using the correct contrast coding for categorical variables. By…Sep 14Sep 14
Tingyu ZouLet’s talk about NAsMissing data (NAs) can have a significant impact on many different stages of data analysis. In fact, the way we handle missing values (NAs)…Sep 14Sep 14
Tingyu ZouWhy We Should Remove NAs Before Z-Scoring: A Best Practice for Reliable Data ProcessingOne common pitfall in data analysis is applying transformations like z-scoring (standardization) before dealing with missing values (NAs)…Sep 14Sep 14
Tingyu ZouWhy You Shouldn’t Load All Your Packages at the Beginning of Your R ScriptIf you’ve been working with R for a while, you’ve probably picked up the habit of loading all the packages you think you’ll need right at…Sep 14Sep 14
Tingyu ZouExploring the specs and pairwise Arguments in the emmeans PackageWhen working with statistical models, understanding the effects of our variables — especially categorical ones — can be a challenge…Sep 10Sep 10
Tingyu Zoupbkrtest.limit in emmeans Analyses for Mixed ModelsWhen conducting analyses using mixed-effects models, particularly with lmer from the lme4 package in R, one of the common tasks is…Sep 9Sep 9
Tingyu ZouUnderstanding the Relationship Between ANOVA, ANCOVA, and Regression: Models, Dummy Variables, and…In the world of statistics, ANOVA (Analysis of Variance), ANCOVA (Analysis of Covariance), and regression are widely used tools for data…Aug 27Aug 27
Tingyu ZouBalancing Model Complexity and Statistical PowerWhen building statistical models, one of the most critical decisions is choosing the right level of model complexity. Should you include as…Aug 14Aug 14