In 2019, Rights and Sterba introduced a set of effect size measures for linear multilevel models in the article Quantifying Explained Variance in Multilevel Models: An Integrative Framework for Defining…

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# R

## Output tables in R

R is a powerful programming language specifically designed for statistical analysis. In this workshop, we will explore some of the tools and packages available in R to craft visually appealing…

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## R Markdown Basics

R Markdown files integrate text, Markdown, and R code into dynamic documents that weave together plain text, formatted text, and the output of the R code. The resulting dynamic reports…

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## Analysis and Visualization of interactions in R

In regression, we are often interested in an interaction, which is the modification or moderation of the effect of an independent variable by another. Understanding interactions involves interpreting the regression…

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## R Graphics: Introduction to ggplot2

This seminar teaches the “grammar” of graphics that underlies the ggplot2 package, allowing the user to build eye-catching, publication-quality graphics layer-by-layer. We will cover the basic elements of the grammar…

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## Zero-inflated and Hurdle models for Count Data in R

This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with…

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## Zero-inflated and Hurdle models for Count Data in R

This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with…

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## Zero-inflated and Hurdle models for Count Data in R

This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with…

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## Introduction to Linear Regression in R

This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors, interpreting the model…

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## Introduction to Programming in R

This workshop is an introduction to R as a programming language. The aim of this workshop is to improve programming skills of R users who have some familiarity with R…

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