Data Analysis with R
Getting Set Up
Accessing RStudio
Basic Coding
Installing Packages
Workflow
1
Data Visualization
1.1
Scatter Plots
1.1.1
Exercises
1.2
Adding New Aesthetics to a Scatter Plot
1.2.1
Exercises
1.3
Labelling Visualizations
1.4
Trend Curves
1.4.1
Exercises
1.5
Time Series Visualizations
1.5.1
Exercises
1.6
Box Plots
1.6.1
Exercises
1.7
Visualizing Distributions: Bar Graphs and Histograms
1.7.1
Exercises
1.8
Summary
1.9
R Markdown
1.10
Sample Report
1.11
Project
2
Data Transformation
2.1
Filtering a Data Set
2.1.1
Exercises
2.2
Sorting a Data Set
2.2.1
Exercises
2.3
The Pipe
2.3.1
Exercises
2.4
Selecting Columns
2.5
Creating New Variables from Old
2.5.1
Exercises
2.6
Grouped Summaries
2.6.1
Exercises
2.7
Project
3
Importing and Cleaning Data
3.1
Importing Tabular Data
3.1.1
Exercises
3.2
Data Types
3.2.1
Exercises
3.3
Renaming Columns
3.3.1
Exercises
3.4
Missing Values
3.4.1
Exercises
3.5
Detecting Entry Errors
3.5.1
Exercises
3.6
Tidying Data
3.6.1
Exercises
3.7
Merging Data
3.7.1
Exercises
3.8
Cleaning Example
3.8.1
Exercises
3.9
Dashboards
3.10
Project
4
Programming in R
4.1
Print to Screen
4.2
User-Defined Functions
4.2.1
Exercises
4.3
Conditional Statements
4.3.1
Exercises
4.4
Loops
4.4.1
Exercises
4.5
Project
5
Statistical Modeling
5.1
Simple Linear Regression
5.1.1
Exercises
5.2
Residuals
5.2.1
Exercises
5.3
R
2
Values
5.3.1
Exercises
5.4
Interpreting Regression Coefficients
5.4.1
Exercises
5.5
Categorical Predictors
5.5.1
Exercises
5.6
Exponential Regression
5.6.1
Exercises
5.7
Multiple Regression
5.7.1
Exercises
5.8
Multiple Regression Example
5.8.1
Exercises
5.9
Project
Final Project
Exercise Solutions
Published with bookdown
Data Analysis with R
Exercise Solutions