Preface
I Data Analysis in R
1
First Steps
1.1
Why Program in R?
1.2
First Steps
1.3
Further Reading
2
Mathematics
2.1
Objects
2.2
Functions
2.3
Arrays
3
Data
3.1
Types
3.2
Empirical Distributions
3.3
Joint Distributions
3.4
Conditional Distributions
3.5
Random Variables
3.6
Further Reading
4
Statistics
4.1
Mean and Variance
4.2
Other Center/Spread Statistics
4.3
Shape Statistics
4.4
Associations
4.5
Beyond Basics
4.6
Further Reading
5
(Re)Sampling
5.1
Sample Distributions
5.2
Intervals
5.3
Resampling
5.4
Further Reading
6
Hypothesis Tests
6.1
Basic Ideas
6.2
Default Statistics
6.3
Two-Sample Differences
6.4
Further Reading
7
Data Analysis
7.1
Inputs
7.2
Outputs
7.3
R-Markdown Reports
7.4
Further Reading
8
Probability Theory
8.1
Mean and Variance
8.2
Bivariate Distributions
8.3
Further Reading
II Linear Regression in R
9
Regression Basics
9.1
Simple Linear Regression
9.2
Variability Estimates
9.3
Hypothesis Tests
9.4
Local Linear Regression
10
Multiple Regression
10.1
Multiple Linear Regression
10.2
Factor Variables
10.3
Variability Estimates
10.4
Hypothesis Tests
10.5
Coefficient Interpretation
10.6
Further Reading
11
Multiple Regression II
11.1
Diagnostics
11.2
Transformations
11.3
Regressograms
11.4
More Literature
12
Observational Data
12.1
Temporal Interdependence
12.2
Spatial Interdependence
12.3
Variable Interdependence
12.4
Further Reading
13
Experimental Data
13.1
Design Basics
13.2
Comparisons Over Time
13.3
“Natural” Experiments
13.4
Further Reading
14
Data Scientism
14.1
False Positives
14.2
Spurious Regression
14.3
Spurious Causal Impacts
15
Misc. Topics
15.1
Locally Linear Multiple Regression
15.2
Nonparametric Tests
15.3
Prediction
15.4
Decision Theory
III Reproducible Research in R
16
Large Projects
16.1
Scripting
16.2
Organizing
16.3
Posters and Slides
16.4
Applications
16.5
Further Reading
17
Performance
17.1
Debugging
17.2
Optimizing
17.3
Advanced Optimizing
17.4
Further Reading
18
Software
18.1
Latest versions
18.2
General Workflow
18.3
Sweave
18.4
Stata
Jordan Adamson
Introductory Economic Statistics: Data-Driven Analysis in R
Introductory Economic Statistics: Data-Driven Analysis in R
Jordan Adamson
Last updated: 21.06.2025
