
Package index
Simple Linear Regression & ANCOVA (Chapters 1–2)
Datasets for introducing simple linear regression, ANCOVA, and the fundamental concepts of controlling for covariates.
-
gcse - GCSE and London Reading Test Data
-
classdata_07 - Class Survey Data (2007)
-
pisa2000 - PISA 2000 International Reading Assessment Data
-
civic_ed - Civic Education Study: Pre-Post Survey Data
One-way ANOVA (Chapter 3)
Datasets for categorical predictors, dummy variable coding, and group comparisons via ANOVA as a special case of regression.
-
reading - Reading Comprehension Instruction Experiment
-
instruction - Reading Instruction Methods Study
Multiple Regression: Continuous Predictors (Chapter 4)
Datasets for partial regression, standardized coefficients, and the confounding/sign-reversal phenomenon.
-
crime - Florida County Crime Rates
Interactions (Chapter 5)
Datasets for interaction effects between dummy variables, continuous and dummy variables, and two continuous predictors.
-
individuals - Bureau of Labor Statistics March 2000 CPS Individual Data
-
faculty - Faculty Salary Data
Nonlinear Relationships & Model Building (Chapters 6–7)
Datasets for log transformations, polynomial regression, and model selection strategies.
Model Diagnostics (Chapter 8)
Datasets for residual analysis, normality checks, influence diagnostics, and collinearity assessment.
-
hsbs1 - High School and Beyond Survey (Full Sample)
Logistic Regression (Chapters 9–11)
Datasets for binary outcomes, odds ratios, Simpson’s paradox, maximum likelihood estimation, and model fit diagnostics.
-
gss_1 - General Social Survey Data
-
berkeley - UC Berkeley Graduate Admissions Data (Five Departments)
-
berk_sub - UC Berkeley Graduate Admissions Subset (Engineering and Psychology)
-
penalty - Death Penalty Sentencing Data
-
titanic - Titanic Passenger Survival Data
-
disc - NELS:88 Discipline and School Experiences Study
-
disc2 - NELS:88 Discipline Study with Achievement Scores
Latent Response & GLM (Chapter 12)
Datasets for latent variable formulations, probit vs. logit models, and the generalized linear model framework.
Ordinal Response Models (Chapter 13)
Datasets for ordinal logistic/probit regression, threshold models, and the proportional odds assumption.
-
womenlf - Canadian Women's Labor Force Participation
-
satisfaction - Satisfaction Survey Data
-
alcohol1_pp - Adolescent Alcohol Use Person-Period Data
-
list_datasets() - List All Datasets in regdatasets