Examines methods for plotting coefficients of linear models in R

Demonstration of ways to plot coefficients in linear models

A collection of software tools I use for bibliographies, equations and tables

This works through some examples of grid approximation from McElrath, Statistical Rethinking, 2.4.3

This script uses some examples to test how/whether the seriation package can be used to simplify mosaic displays. It uses some recent enhancements from Michael Hahsler.

This document describes several tests of LaTeX equations using mathjax features of \newcommand

This document describes several tests of LaTeX equations using mathjax features of \newcommand

This script recreates a network diagram showing the genealogy of those involved in the development of Exploratory Data Analysis following John W. Tukey, Frederick Mosteller, Harold Gulliksen and others, together with some of their students.

This document explores some questions related to Quetelet's 1831 _Research on the Propensity for Crime at Different Ages

This example considers coefficient plots for regression models and illustrates the effect of scaling of predictors on what you can see.

Logistic regression modeling political preference given income

Here I start with some of the code from `ElectionsEconomy/hibbs.R`. The original goal was just to explore using `stan_glm()` for fitting simple linear regression models. A couple of sidebars arose from this example.

This demonstration uses a small data set to define a context for repeated sampling from a "population" with known slope and intercept to develop the sampling distributions of regression estimates.

This vignette illustrates the use of MANOVA, HE plots and canonical discriminant analysis in the analysis of the Palmer penguins data

These examples show the use of multivariate exploratory visualization methods -- principal component analysis and biplots -- to understand the relations among variables in the penguins data set.

This article illustrates some graphical methods that we have developed over the last ten years that aid in the understanding and communication of the results of multivariate linear models (Friendly 2007; Friendly, Monette, and Fox 2013). Just as a boxplot is a visual summary of the mean and variance of a 1D sample, these methods rely on data ellipsoids as simple, minimally sufficient visualizations of means and (co-)variance that can be shown in 2D and 3D plots.

This script is part of supplementary materials in conjunction with the paper "Graphical Methods for Multivariate Linear Models in Psychological Research", Michael Friendly & Matthew Sigal (submitted).

This script is part of supplementary materials in conjunction with the paper "Graphical Methods for Multivariate Linear Models in Psychological Research", Michael Friendly & Matthew Sigal (submitted).

This script is part of supplementary materials in conjunction with the paper "Graphical Methods for Multivariate Linear Models in Psychological Research", Michael Friendly & Matthew Sigal (submitted).

This script is part of supplementary materials in conjunction with the paper "Graphical Methods for Multivariate Linear Models in Psychological Research", Michael Friendly & Matthew Sigal (submitted).