Bob Muenchen

Bob Muenchen

Accredited Professional Statistician, R Trainer

Bio: Robert A. Muenchen (muenchen.bob@gmail.com) is the author of R for SAS and SPSS Users and, with Joseph M. Hilbe, R for Stata Users. He is also the creator of http://r4stats.com, a popular web site devoted to analyzing trends in data science software and helping people learn the R language. Detailed outlines of Bob's R workshops are available there. Bob is an ASA Accredited Professional Statistician™ with 35 years of experience and is currently the manager of OIT Research Computing Support (formerly the Statistical Consulting Center) at the University of Tennessee. He has taught workshops on research computing topics for more than 500 organizations and has offered training in partnership with the American Statistical Association, DataCamp.com, New Horizons Computer Learning Centers, Revolution Analtyics, RStudio.com, Rexer Analytics, and Xerox Learning Services. Bob has written or coauthored over 70 articles published in scientific journals and conference proceedings, and has provided guidance on more than 1,000 graduate theses and dissertations. Bob has served on the advisory boards of SAS Institute, SPSS Inc., Intuitics OOD, StatAce OOD, the Statistical Graphics Corporation and PC Week Magazine. His suggested improvements have been incorporated into SAS, SPSS, JMP, STATGRAPHICS and several R packages. His research interests include statistical computing, data graphics and visualization, text analytics, and data mining.

Using Excel for Data Entry

Using Excel for Data Entry

This article shows you how to enter data so that you can easily open in statistics packages such as R, SAS, SPSS, or jamovi (code or GUI steps below). Excel has some statistical analysis capabilities, but they often provide incorrect answers. For a comprehensive list of these limitations, see http://www.forecastingprinciples.com/paperpdf/McCullough.pdfand http://www.burns-stat.com/documents/tutorials/spreadsheet-addiction. Simple Data Sets Most data sets are easy […]

jamovi for R: Easy but Controversial

jamovi for R: Easy but Controversial

jamovi is software that aims to simplify two aspects of using R. It offers a point-and-click graphical user interface (GUI). It also provides functions that combines the capabilities of many others, bringing a more SPSS- or SAS-like method of programming to R. The ideal researcher would be an expert at their chosen field of study, data […]

The Tidyverse Curse

The Tidyverse Curse

I’ve just finished a major overhaul to my widely read article, Why R is Hard to Learn. It describes the main complaints I’ve heard from the participants to my workshops, and how those complaints can often be mitigated. Here’s the only new section: The Tidyverse Curse There’s a common theme in many of the sections above: a task […]

Group-By Modeling in R Made Easy

Group-By Modeling in R Made Easy

There are several aspects of the R language that make it hard to learn, and repeating a model for groups in a data set used to be one of them. Here I briefly describe R’s built-in approach, show a much easier one, then refer you to a new approach described in the superb book, R for Data […]

Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind

Data Science Job Report 2017: R Passes SAS, But Python Leaves The...

I’ve just updated another section of The Popularity of Data Science Software. It is reproduced below to save you the trouble of reading the entire article. If your organization is looking for training in the R language, you might consider my books, R for SAS and SPSS Users or R for Stata Users, or my on-site workshops. Job Advertisements One of the […]