Tools for an Introductory Class in Regression and Modeling
Pairwise correlations between quantitative variables
Association Analysis
Variable selection for descriptive or predictive linear and logistic r...
Exploratory building of partition models
Linear and Logistic Regression diagnostics
Choosing order of a polynomial model
Combines rare levels of a categorical variable
Confusion matrix for logistic regression models
Correlation demo
Correlation Matrix
A crude check for extrapolation
Transformations for simple linear regression
Calculating the generalization error of a model on a set of data
Complexity Parameter table for partition models
Influence plot for regression diganostics
Find the mode of a categorical variable
Mosaic plot
Interactive demonstration of the effect of an outlier on a regression
Demonstration of overfitting
Illustrating how a simple linear/logistic regression could have turned...
QQ plot
Examining pairwise interactions between quantitative variables for a f...
Examining model AICs from the "all possible" regressions procedure usi...
Segmented barchart
Combining levels of a categorical variable
Useful summaries of partition models from rpart
Variance Inflation Factor
Visualizations of one or two variable linear or logistic regressions o...
Visualizing the relationship between y and x in a partition model
Contains basic tools for visualizing, interpreting, and building regression models. It has been designed for use with the book Introduction to Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN: 978-1-63189-250-9 <https://titles.cognella.com/introduction-to-regression-and-modeling-with-r-9781631892509>.