Data Analysis Journeys
Fundamentals of Quantitative Analysis
Overview
How to use this book
1
Introduction to programming with R/R Studio
2
Creating Reproducible Documents
3
Introduction to Data Visualisation
4
Data wrangling 1: Join, select, and mutate
5
Data wrangling 2: Filter and summarise
6
Data Wrangling 3: Pivots and Pipes
7
Scatterplots, boxplots, and violin-boxplots
8
Regression with one continuous predictor
9
Regression with one categorical predictor
10
Statistical Power and Effect Sizes
11
Screening Data
12
One-way ANOVA
13
Factorial ANOVA
14
Multiple Regression
Data Analysis Journeys
15
Analysis Journey 1: Data Wrangling
16
Analysis Journey 2: Simple Linear Regression
References
Appendices
A
Additional Resources
B
Citing R and RStudio
C
Symbols
D
Probability
License
Data Analysis Journeys
14
Multiple Regression
15
Analysis Journey 1: Data Wrangling