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R for Behavioral Researchers

Elea McDonnel Feit

21 February 2018

Updated 5 March 2020

This repository contains files related to an in-person workshop designed to help behavioral researchers in business schools transition to using R and R Markdown. The focus of the workshop is on giving participants the tools to do high-quality reproducable research. The workshop combines materials from this repository with instructor slides from R for Marketing Research and Analtyics.

Workshop outline

Week 1:

Introduction

Slides

Tour of RStudio

Chapter 2: Basics of the R Language

We focus on R as a programming language first and get new programmers comfortable with working in a programming environment

Slides
Code

Keeping raw data organized

One header row
One row for each observation
No "formatting-as-data"

Assignment:

DataCamp Course: Introduction to Data

Week 2:

Using R Markdown to create a seamless research workflow

Live demo

Firms Analysis

Data
Analysis

Chicks Analysis

Data
Starter Analysis File

Chapter 5: Differences between groups

Covers techniques for data manipulation like aggregate() and table() and visualization including histogram() and boxplot

Slides
Code

Chapter 6: Statistical tests

Covers the statistical tests needed to analyze experiments including chisq.test(), t.test() and anova()

Slides
Code

Chapter 7: Regression (time permitting)

Slides
Code

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Introduction to R and R Markdown for Business School Faculty and Doctoral Students

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