Selected Short Courses, Lectures, Workshops, Tutorials, and Talks

Regression Diagnostics (May 2022, SORA/TABA Workshop)

Introduction to the R Statistical Computing Environment Lecture Series (July 2021, cancelled, ICPSR Summer Program)

Webinar: Using the R Commander in Basic Statistics Courses (March 2018, American Statistical Association/Teaching of Statistics in the Health Sciences Section)

Visualizing Simultaneous Linear Equations, Geometric Vectors, and Least-Squares Regression with the matlib Package for R (June 2016, useR! Conference, Stanford)

Structural Equation Modeling with the sem package for R, Writing R packages, Teaching Statistics Using R and the R Commander (January 2016, IQS Barcelona, Spain)

Linear Models, Logit and Probit Models, Generalized Linear Models (June 2010, York Summer Programme in Data Analysis)

Introduction to Nonparametric Regression (May 2005, ESRC Oxford Spring School)

Note: To reduce duplication, I've listed the most recent occasion on which I addressed a particular topic.

Current Books:

  Information on John Fox, A Mathematical Primer for Social Statistics, Second Edition (Sage, 2021).

  Information on John Fox, Regression Diagnostics: An Introduction, Second Edition (Sage, 2020)

 

  Information on John Fox and Sanford Weisberg, An R Companion to Applied Regression, Third Edition (Sage, 2019), including access to on-line appendices, data files, R scripts, errata, updates, and more.

 

 

  Information on John Fox, Using the R Commander: A Point-and-Click Interface for R (Chapman and Hall/CRC, 2017), including access to data files, errata and updates,

 

  Information on John Fox, Applied Regression Analysis and Generalized Linear Models, Third Edition (Sage, 2016), including access to appendices, datasets, data-analysis exercises, errata, answers to odd-numbered exercises in the text, and bonus Chapter 25 on Bayesian estimation of regression models.

  Information on John Fox, Nonparametric Simple Regression: Smoothing Scatterplots (Sage, 2000), and Multiple and Generalized Nonparametric Regression (Sage,

 

  Information on Robert Stine and John Fox, eds. Statistical Computing Environments for Social Research (Sage, 1996).

 

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Statistical Software:

candisc (R package for canonical discriminant analysis), by Michael Friendly and John Fox.
car (Companion to Applied Regression) package for R. Software associated with Fox and Weisberg, An R Companion to Applied Regression, Second Edition.
effects (R package for effect displays), by John Fox, Sanford Weisberg, and Jangman Hong.
heplots (R package for visualizing hypothesis tests in multivariate linear models), by John Fox, Michael Friendly, and Georges Monette.
ivreg (R package for instrumental variables regression), by John Fox, Christian Kleiber, and Achim Zeileis.
matlib (R package for learning linear algebra), by Michael Friendly and John Fox.
polycor (R package for polychoric and polyserial correlations).
Rcmdr (R package, a basic-statistics graphical-user-interface for R).
RcmdrPlugin.survival (Rcmdr plug-inpackage for survival analysis).
sem (R package for structural equation modeling), by John Fox, Zhenghua Nie, and Jarrett Byrnes.

Some additions to Cook and Weisberg's Arc software.

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Some of the information on this web site is in the form of Portable Document Format (PDF) files. A free viewer for PDF files, Adobe Reader, is available from the Adobe web site.

Contact me by email: jfox AT mcmaster.ca

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Last Modified: 2022-02-28 by John Fox, jfox AT mcmaster.ca.