Posts

13 R Markdown

In this session you will learn how write dynamic documents with R Markdown. This session is essential for your final paper.

11 Generalized Linear Models (GLM)

In this session you will learn how estimate models for categorical, especially binary, outcomes.

12 Mixed Effects Multilevel Models

In this session you will learn how estimate models for clustered data, such as country-comparative survey data.

10 Linear OLS Regression II

In this session you will learn how estimate complex conditional and non-linear OLS models and communicate their results visualizations of the model.

9 Linear OLS Regression I

In this session you will learn how estimate simple OLS models with continuous and categorical predictors.

7 Pivoting & Joining

In this session you will learn how to wrangle your data into just the shape you need it.

8 Principal Component Analysis

In this session you will learn how identify latent constructs from a range of indicator variables.

5 Piping and Grouped Operations

This lecture introduces you the %% operator as neat way to organize your code.

6 Visualization II

This lecture will finalize our introduction to the basics of the grammar of graphics and ggplot2.

3 Data Frames and Tibbles

This lecture will introduce you to data frames and tibbles, the best way to organize data in R.