Chapter 1 About

Welcome to this BookDown website Data Analysis in R designed to help you develop your knowledge of how to conduct statistical analysis, create figures, and troubleshoot in R. The book is broken into four chapters:

1. About

A brief introduction to the resource.

2. Foundations of data analysis with R

Setting up your environment
Vectors, factors, matrices, and data frames
Data manipulation with tidyverse

3. Importing, saving, and exploring data

Importing: Getting your data into R
Note on data from Qualtrics
Good practices: Making sure your data is correct
Distributions and summary statistics: Understanding basic properties of data

4. Inferential statistics

Pearson correlation: Assessing relationships between variables
Linear regression: Predicting outcomes based on a single predictor
T-test: Comparing means between two groups
ANOVA: Analyzing variance between multiple groups