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# r4stats.com

Data Science Software Reviews

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## Posts

- [Blog](https://r4stats.com/blog/)
- [BlueSky Statistics LLC Releases Third Edition of User Guide](https://r4stats.com/2025/04/07/bluesky-statistics-llc-releases-third-edition-of-user-guide/) - BlueSky Statistics LLC has published the third edition of the User Guide, written by yours truly. It is exclusively available for order here. The previous 6"x 9" format would have run over 700 pages, so we switched to 8.5"x 11" to reduce the page count to 533. While this new edition is available only in
- [See New BlueSky Statistics Features at The Quality Show and ASQ](https://r4stats.com/2025/04/02/see-new-bluesky-statistics-features-at-the-quality-show-and-asq/) - BlueSky Statistics is easy-to-use software for statistics and machine learning. Behind the scenes it does all its work using the powerful R language. It can show you the code it writes, which you can modify for finer control. It comes in a free Base version and a commercial Pro version. BlueSky Statistics LLC has greatly
- [BlueSky Statistics Enhancements](https://r4stats.com/2024/07/30/bluesky-statistics-enhancements/) - BlueSky Statistics Base is a free graphical user interface for the powerful R language. There is also a commercial “Pro” version that offers tech support, priority feature requests, and many powerful additional features. The Pro version has been beefed up considerably with the new features below. These features apply to quality control, general statistics, team collaboration, project management, and
- [R GUI Reviews Updated](https://r4stats.com/2024/09/25/r-gui-reviews-updated/) - I have just finished updating my reviews of graphical user interfaces for the R language. These include BlueSky Statistics, jamovi, JASP, R AnalyticFlow, R Commander, R-Instat, Rattle, and RKward. The permanent link to the article that summarizes it all is https://r4stats.com/articles/software-reviews/r-gui-comparison/. I list the highlights below as this post to reach all the blog aggregators.
- [BlueSky Statistics Version 10 is Not Open Source](https://r4stats.com/2024/09/05/bluesky-statistics-version-10-is-not-open-source/) - BlueSky Statistics is a graphical user interface for the powerful R language. On July 10, 2024, the BlueskyStatistics.com website said: “…As the BlueSky Statistics version 10 product evolves, we will continue to work on orchestrating the necessary logistics to make the BlueSky Statistics version 10.x application available as an open-source project. This will be done
- [See BlueSky Statistics GUI for R at JSM 2023](https://r4stats.com/2023/07/26/see-bluesky-statistics-gui-for-r-at-jsm-2023/) - Are attending this year's Joint Statistical Meetings in Toronto? If so, stop by booth 404 to see the latest features of BlueSky Statistics. A menu-based graphical user interface for the R language, BlueSky lets people access the power of R without having to learn to program. Programmers can easily add code to BlueSky's menus, sharing
- [Minitab Alternative BlueSky Statistics to Display Graphical Interface to R at ASQ Conference](https://r4stats.com/2024/05/12/minitab-alternative-bluesky-statistics-to-display-graphical-interface-to-r-at-asq-conference/) - BlueSky Statistics exhibit at the American Society for Quality World Conference on Quality and Improvement in San Diego from 12 to 14 May, Booth #720 (https://asq.org/conferences/wcqi/solution-partners). BlueSky Statistics is an R-based software for statistics, data science, Six Sigma, DoE, and more. An alternative to Minitab and similar software, it is designed for quality professionals to
- [Ensure R Language Reproducibility with dateback Package](https://r4stats.com/2023/08/01/ensure-r-language-reproducibility-with-dateback-package/) - Sooner or later, most R programmers end up with code that no longer runs because of package updates. One way to address the problem was the MRAN Time Machine which Microsoft retired on July 1, 2023. You can get similar functionality for source packages using "dateback," thanks to Ryota Suzuki. As with MRAN, examples of
- [Update to Data Science Software Popularity](https://r4stats.com/2023/06/07/update-to-data-science-software-popularity/) - I've updated The Popularity of Data Science Software's market share estimates based on scholarly articles. I posted it below, so you don't have to sift through the main article to read the new section. Scholarly Articles Scholarly articles provide a rich source of information about data science tools. Because publishing requires significant effort, analyzing the
- [Rexer Data Science Survey: Satisfaction Results](https://r4stats.com/2016/06/06/rexer-data-science-survey-satisfaction-results/) - by Bob Muenchen I previously reported on the initial results of Rexer Analytics’ 2015 survey of data science tools here. More results are now available, and the comprehensive report should be released soon. One of the more interesting questions on the survey was, “Please rate your overall satisfaction with [your previously chosen software].” Most of the measures
- [Data Science Software Popularity Update](https://r4stats.com/2022/10/12/data-science-software-popularity-update/) - I have recently updated my extensive analysis of the popularity of data science software. This update covers perhaps the most important section, the one that measures popularity based on the number of job advertisements. I repeat it here as a blog post, so you don't have to read the entire article. Job Advertisements One of
- [Mayo Clinic Announces Move from SAS' JMP to BlueSky Statistics](https://r4stats.com/2022/09/12/mayo-clinic-adopts-bluesky-statistics/) - At the useR! 2022 Conference, the world-renowned Mayo Clinic announced that after 20 years of using SAS Institute's JMP software, they have migrated to the BlueSky Statistics user interface for R. Ross Dierkhising, a principal biostatistician with the Clinic, described the process. They reviewed 16 commercial statistical software packages and none met their needs as
- [Updated Comparison of R Graphical User Interfaces](https://r4stats.com/2022/06/20/updated-comparison-of-r-guis/) - I have just updated my detailed reviews of Graphical User Interfaces (GUIs) for R, so let's compare them again. It's not too difficult to rank them based on the number of features they offer, so let's start there. I'm basing the counts on the number of dialog boxes in each category of four categories: Ease of
- [Things I've Learned About WordPress.com](https://r4stats.com/2012/05/05/wordpress-tips/) - I'm almost done moving this site from Google Sites to WordPress. This post describes some of the things I've learned about WordPress.com. By default, WordPress.com makes your site look like a blog. I prefer it look like a website that contains a blog. You can change that in Site Admin under Settings> Reading. The Front
- [R Graphical User Interface Comparison](https://r4stats.com/2022/02/09/r-graphical-user-interface-comparison/) - I have recently updated my detailed reviews of Graphical User Interfaces (GUIs) for R, so it's time for another comparison post. It's not too difficult to rank them based on the number of features they offer, so let's start there. I'm basing the counts on the number of dialog boxes in each category of four categories:
- [A Comparative Review of the R-Instat GUI for R](https://r4stats.com/2022/01/24/r-instat/) - by Robert A. Muenchen Introduction R-Instat is a free and open source graphical user interface for the R software that focuses on people who want to point-and-click their way through data science analyses. Written in Visual Basic, it is currently only available for Microsoft Windows. However, a Linux version is in development using the cross-platform Mono implementation of the
- [BlueSky Statistics Intro and User Guides Now Available](https://r4stats.com/2020/11/23/bluesky-statistics-intro-and-user-guides-now-available/) - BlueSky Statistics is an easy-to-use menu system that uses the R language to do all its work. My detailed review of BlueSky is available here, and a brief comparison of the various menu systems for R is here. I've just released the BlueSky Statistics 7.1 User Guide in printed form on the world's largest independent
- [R GUI Update: BlueSky User's Guide, New Features](https://r4stats.com/2020/08/03/r-gui-update-bluesky-users-guide-new-features/) - New BlueSky Statistics features & manual to help BlueSky users get the most out of the software.
- [Updates to R GUIs: BlueSky, jamovi, JASP, & RKWard](https://r4stats.com/2020/03/31/updates-to-r-guis/) - Graphical User Interfaces (GUIs) for the R language help beginners get started learning R, help non-programmers get their work done, and help teams of programmers and non-programmers work together by turning code into menus and dialog boxes. There has been quite a lot of progress on R GUIs since my last post on this topic.
- [Biomedical Data Science Textbook Available](https://r4stats.com/2020/01/13/biomedical-data-science-textbook/) - By Bob Hoyt & Bob Muenchen Data science is being used in many ways to improve healthcare and reduce costs. We have written a textbook, Introduction to Biomedical Data Science, to help healthcare professionals understand the topic and to work more effectively with data scientists. The textbook content and data exercises do not require programming
- [SAS Language Clone Now Free for Commercial Use](https://r4stats.com/2019/12/16/sas-clone-free/) - The WPS Analytics' version of the SAS language is now available in a Community Edition. This edition allows you to run SAS code on datasets of any size for free. Purchasing a commercial license will get you tech support and the ability to run it from the command line, instead of just interactively. The software
- [A Comparative Review of the R AnalyticFlow GUI for R](https://r4stats.com/2019/12/09/r-analyticflow/) - Introduction R AnalyticFlow (RAF) is a free and open source graphical user interface (GUI) for the R language that focuses on beginners looking to point-and-click their way through analyses. What sets it apart from the other half-dozen GUIs for R is that it uses a flowchart-like workflow diagram to control the analysis instead of only
- [Is Scholarly Use of R Beating SPSS Already?](https://r4stats.com/2019/07/15/is-scholarly-use-of-r-use-beating-spss-already/) - by Bob Muenchen & Sean MacKinnon One of us (Muenchen) has been tracking The Popularity of Data Science Software using a variety of different approaches. One approach is to use Google Scholar to count the number of scholarly articles found each year for each software. He chose Google Scholar since it searches “across many disciplines
- [New Versions of R GUIs: BlueSky, JASP, jamovi](https://r4stats.com/2019/06/18/new-versions-of-r-guis/) - It has been only two months since I summarized my reviews of point-and-click front ends for R, and it's already out of date! I have converted that post into a regularly-updated article and added a plot of total features, which I repeat below. It shows the total number of features in each package, including the
- [jamovi for R: Easy but Controversial](https://r4stats.com/2018/02/13/jamovi-for-r-easy-but-controversial/) - [An updated version of this post is located here.] 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
- [Data Science Jobs Report 2019: Python Way Up, Tensorflow Growing Rapidly, R Use Double SAS](https://r4stats.com/2019/05/28/data-science-jobs-report-2019-python-way-up-tensorflow-growing-rapidly-r-use-double-sas/) - In my ongoing quest to track The Popularity of Data Science Software, I've just updated my analysis of the job market. To save you from reading the entire tome, I'm reproducing that section here.
- [Comparing Point-and-Click Front Ends for R](https://r4stats.com/2019/04/22/comparing-r-guis/) - Now that I've completed seven detailed reviews of Graphical User Interfaces (GUIs) for R, let's try to compare them. It's easy enough to count their features and plot them, so let's start there.
- [A Comparative Review of the JASP Statistical Software](https://r4stats.com/2019/04/17/jasp-review/) - JASP is a free and open source statistics package that targets beginners looking to point-and-click their way through analyses. This article is one of a series of reviews which aim to help non-programmers choose the Graphical User Interface (GUI) for R, which best meets their needs.
- [Data Science Software Used in Journals: Stat Packages Declining (including R), AI/ML Software Growing](https://r4stats.com/2019/04/01/scholarly-datasci-popularity-2019/) - In my neverending quest to track The Popularity of Data Science Software, it's time to update the section on Scholarly Articles. The rapid growth of R could not go on forever and, as you'll see below, its use actually declined over the last year. Scholarly Articles Scholarly articles provide a rich source of information about
- [Data Science Software Reviews: Forrester vs. Gartner](https://r4stats.com/2019/03/19/data-science-software-reviews-forrester-vs-gartner/) - In my previous post, I discussed Gartner's reviews of data science software companies. In this post, I show Forrester's coverage and discuss how radically different it is. As usual, this post is already integrated into my regularly-updated article, The Popularity of Data Science Software.
- [Gartner's 2019 Take on Data Science Software](https://r4stats.com/2019/02/25/gartner-2019-take-on-data-science-software/) - I've just updated The Popularity of Data Science Software to reflect my take on Gartner's 2019 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging through all 40+ pages of my report, here's just the updated section:
- [Updated Review: jamovi User Interface to R](https://r4stats.com/2019/01/09/updated-review-jamovi/) - Last February I reviewed the jamovi menu-based front end to R. I've reviewed five more user interfaces since then, and have developed a more comprehensive template to make it easier to compare them all. Now I'm cycling back to jamovi, using that template to write a far more comprehensive review. I've added this review to
- [BlueSky Statistics 5.40 GUI for R Update](https://r4stats.com/2018/10/01/bluesky-statistics-6-04-gui-for-r-update/) - It has been just a few months since I reviewed five free and open-source point-and-click graphical user interfaces (GUIs) to the R language. I plan to keep those reviews up to date as new features are added. BlueSky’s interface would be immediately familiar to anyone who had used SPSS, as its developers model it on
- [A Comparative Review of the R Commander GUI for R](https://r4stats.com/2018/07/09/r-commander/) - Introduction The R Commander is a free and open source user interface for the R software, one that focuses on helping users learn R commands by point-and-clicking their way through analyses. The R Commander is available on Windows, Mac, and Linux; there is no server version. This is one of a series of reviews which aim to help non-programmers choose
- [A Comparative Review of the Rattle GUI for R](https://r4stats.com/2018/07/02/a-comparative-review-of-the-rattle-gui-for-r/) - Introduction Rattle is a popular free and open source Graphical User Interface (GUI) for the R software, one that focuses on beginners looking to point-and-click their way through data mining tasks. Such tasks are also referred to as machine learning or predictive analytics. Rattle’s name is an acronym for “R Analytical Tool To Learn Easily.” Rattle is available
- [A Comparative Review of the BlueSky Statistics GUI for R](https://r4stats.com/2018/06/21/bluesky/) - Introduction BlueSky Statistics’ desktop version is a free and open source graphical user interface for the R software that focuses on beginners looking to point-and-click their way through analyses. A commercial version is also available which includes technical support and a version for Windows Terminal Servers such as Remote Desktop, or Citrix. Mac, Linux, or tablet
- [A Comparative Review of the Deducer GUI for R](https://r4stats.com/2018/06/13/deducer/) - Introduction Deducer is a free and open source Graphical User Interface for the R software, one that provides beginners a way to point-and-click their way through analyses. It also integrates into an environment designed to help programmers be more productive. Deducer is available on Windows, Mac, and Linux; there is no server version. This post
- [The Popularity of Point-and-Click GUIs for R](https://r4stats.com/2018/06/12/gui-popularity/) - Point-and-click graphical user interfaces (GUIs) for R allow people to analyze data using the R software, without having to learn how to program in the R language. This is a brief look at how popular each one is. Knowing that a GUI is popular doesn't mean it will meet your needs, but it does mean
- [A Comparative Review of the RKWard GUI for R](https://r4stats.com/2018/05/24/rkward-gui-for-r/) - Introduction RKWard is a free and open source Graphical User Interface for the R software, one that supports beginners looking to point-and-click their way through analyses, as well as advanced programmers. You can think of it as a blend of the menus and dialog boxes that R Commander offers combined with the programming support that
- [Google Scholar Finds Far More SPSS Articles; Analytics Forecast Updated](https://r4stats.com/2015/03/26/google-scholar-spss/) - Only last August I wrote that among scholars, the use of R had probably exceeded that of SPSS to become their most widely used software for analytics. That forecast was based on Google Scholar searches focused on one year at a time, from 1995 through 2014. Each year from 2010 through 2014, I re-collected that entire
- [A Review of Qualtrics, QuestionPro, REDCap, SurveyGizmo, & SurveyMonkey](https://r4stats.com/2018/04/17/web-survey-tools/) - Introduction Web-based surveys offer a quick and effective way to collect data. Several companies sell software-as-a-service which makes the construction of surveys quite easy using only a web browser. At the University of Tennessee, we currently have a system-wide site license for Qualtrics. Initial discussions suggested an intent from Qualtrics to more than double its
- [Using Excel for Data Entry](https://r4stats.com/2018/03/28/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.pdf and http://www.burns-stat.com/documents/tutorials/spreadsheet-addiction. Simple Data Sets Most data
- [Comparing Transformation Styles: attach, transform, mutate and within](https://r4stats.com/2013/01/22/comparing-tranformation-styles/) - The R language has some built in functions to transform data, such as attach, transform, and within. However, the dplyr mutate function offers unique advantages.
- [Gartner's 2018 Take on Data Science Tools](https://r4stats.com/2018/02/26/gartners-2018-take-on-data-science-tools/) - I've just updated The Popularity of Data Science Software to reflect my take on Gartner's 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the trouble of digging though all 40+ pages of my report, here's just the new section: IT Research Firms IT research firms study software products and
- [Data Science Tool Market Share Leading Indicator: Scholarly Articles](https://r4stats.com/2017/06/19/scholarly-articles/) - Below is the latest update to The Popularity of Data Science Software. It contains an analysis of the tools used in the most recent complete year of scholarly articles. The section is also integrated into the main paper itself. New software covered includes: Amazon Machine Learning, Apache Mahout, Apache MXNet, Caffe, Dataiku, DataRobot, Domino Data
- [Job Trends in the Analytics Market: New, Improved, now Fortified with C, Java, MATLAB, Python, Julia and Many More!](https://r4stats.com/2014/02/25/job-trends-improved/) - I'm expanding the coverage of my article, The Popularity of Data Analysis Software. This is the first installment, which includes a new opening and a greatly expanded analysis of the analytics job market. Here it is, from the abstract onward through the first section... Abstract: This article presents various ways of measuring the popularity or
- [Analytics Software Popularity Update: Counting Blogs, Simplifying Job Searches](https://r4stats.com/2014/03/06/analytics-software-popularity-update-counting-blogs-simplifying-job-searches/) - My latest update to The Popularity of Data Analysis Software is an attempt to use blog counts to estimate the popularity of analytics software. While I was able to greatly broaden the coverage of packages when studying job data, I made very little progress on the blog measure, adding new coverage for only Python and
- [Dueling Data Science Surveys: KDnuggets & Rexer Go Live](https://r4stats.com/2017/05/16/data-science-surveys/) - What tools do we use most for data science, machine learning, or analytics? Python, R, SAS, KNIME, RapidMiner,…? How do we use them? We are about to find out as the two most popular surveys on data science tools have both just gone live. Please chip in and help us all get a better understanding
- [Group-By Modeling in R Made Easy](https://r4stats.com/2017/04/18/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
- [Keeping Up with Your Data Science Options](https://r4stats.com/2017/04/12/keeping-up-with-your-data-science-options/) - The field of data science is changing so rapidly that it's quite hard to keep up with it all. When I first started tracking The Popularity of Data Science Software in 2010, I followed only ten packages, all of them classic statistics software. The term data science hadn't caught on yet, data mining was still a
- [Python and R Vie for Top Spot in Kaggle Competitions](https://r4stats.com/2017/04/04/kaggle/) - Python and R are compared on popularity for data science competitions
- [The Tidyverse Curse](https://r4stats.com/2017/03/23/the-tidyverse-curse/) - Hadley Wickham's dplyr package and the complete tidyverse set of packages add many commands to R, making it harder to learn.
- [Forrester's 2017 Take on Tools for Data Science](https://r4stats.com/2017/03/16/forrester/) - The analysis of market share or popularity of data science software and vendors such as IBM, SPSS, SAS, KNIME, RapidMiner
- [Jobs for "Data Science" Up 7-fold, for "Statistician" Down by Half](https://r4stats.com/2017/03/13/jobs-for-data-science-up-7-fold-for-statistician-down-by-half/) - Trends in jobs, hiring, open positions for data scientists and statisticians
- [Data Science Job Report 2017: R Passes SAS, But Python Leaves Them Both Behind](https://r4stats.com/2017/02/28/r-passes-sas/) - Examines market share or popularity of data science software by comparing the number of jobs available for each software package.
- [Gartner's 2017 Take on Data Science Software](https://r4stats.com/2017/02/23/gartners-2017-take-on-data-science-software/) - Part of an overall analysis of popularity or market share of data science, statistics, and advanced analytics software
- [Knoxville, TN: R for Text Analysis Workshop](https://r4stats.com/2017/01/19/knoxville-tn-r-for-text-analysis-workshop/) - The Knoxville R Users Group is presenting a workshop on text analysis using R by Bob Muenchen. The workshop is free and open to the public. You can join the group at https://www.meetup.com/Knoxville-R-Users-Group. A description of the workshop follows. R for Text Analysis When analyzing text using R, it’s hard to know where to begin. There
- [R Passes SAS in Scholarly Use (finally)](https://r4stats.com/2016/06/08/r-passes-sas-in-scholarly-use-finally/) - Relative market share of R, SAS, SPSS, Stata, Spark, H2O, and other data science tools
- [R Training at Nicholls State University](https://r4stats.com/2016/06/06/nicholls-state/) - I’ll be presenting two workshops back-to-back at Nicholls State University in Thibodaux Louisiana June 14-16. The first workshop will cover a broad range of R topics. Each topic will include a brief comparison to how R differs from the popular commercial data science packages, SAS, SPSS, and Stata. If you have a background in any
- [Will 2015 be the Beginning of the End for SAS and SPSS?](https://r4stats.com/2012/05/09/beginning-of-the-end/) - [Since this was originally published in 2012, I've collected new data that renders this article obsolete. You can always see the most recent data here. -Bob Muenchen] Learning to use a data analysis tool well takes significant effort, so people tend to continue using the tool they learned in college for much of their careers.
- [R's Growth Continues to Accelerate](https://r4stats.com/2016/04/19/rs-growth-continues-to-accelerate/) - Each year I update the growth in R's capability on The Popularity of Data Analysis Software. And each year, I think R's incredible rate of growth will finally slow down. Below is a graph of the latest data, and as you can see, R's growth continues to accelerate. Since I've added coverage for many more software
- [Business Intelligence and Data Science Groups in East Tennessee](https://r4stats.com/2016/02/22/data-sci-in-east-tn/) - The Knoxville area has four groups that help people learn about business intelligence and data science. The Knoxville R Users Group (KRUG) focuses on the free and open source R language. Each meeting begins with a bit of socializing followed by a series of talks given by its members or guests. The talks range from
- [Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF](https://r4stats.com/2016/02/22/vcf/) - The IT research firm, Gartner, Inc. has released its February 2016 report, Magic Quadrant for Advanced Analytics Platforms. The report’s main graph shows the completeness of each company’s vision plotted against its ability to achieve that vision (Figure 1.) I include this plot each year in my continuously updated article, The Popularity of Data Analysis
- [Trying Out Wordpress](https://r4stats.com/2012/04/25/hello-world-2/) - I've had my site http://r4stats.com on Google Sites for a few years now and it's time to try something new. Most of the articles there are not very blog-like. For example, The Popularity of Data Analysis Software is an article that I update many times a year. If you've never read it before, it would
- [Poll Shows Open Source Almost Even with Commercial Analytics Software](https://r4stats.com/2012/05/31/open-source-almost-even/) - The 2012 results of the annual KDnuggets poll are in. It shows R in first place with 30.7% of users reporting having used it for a real project. Excel is almost as popular. It seems out of place among so many more capable packages, but Excel is a tool that almost everyone has and knows
- [Why R is Hard to Learn](https://r4stats.com/2012/06/13/why-r-is-hard-to-learn/) - The R language has many complexities and inconsistencies that make it difficult to learn. This article provides an extensive list of them and explains how they often provide the benefit of increased power or flexibility.
- [SAS Beats R on July 2012 TIOBE Rankings](https://r4stats.com/2012/07/10/sas-beats-r/) - The TIOBE Community Programming Index ranks the popularity of programming languages, but from a programming language perspective rather than as analytical software (http://www.tiobe.com). It extracts measurements from blogs, entries in Wikipedia, books on Amazon, search engine results, etc. and combines them into a single index. The July 2012 rankings place SAS in 24th place and R in 28th. This is a
- [Specifying Variables in R](https://r4stats.com/2012/09/25/specifying-variables-in-r/) - The R language has several ways to specify variables. This article compares and contrasts them.
- [R for SAS, SPSS, Stata Users Workshop Redesigned](https://r4stats.com/2012/10/02/workshop-redesigned/) - My workshop R for SAS, SPSS and Stata Users has been popular over the years, but it's time for an overhaul. A common request has been to simplify it, so I have moved data management to a separate 4-hour workshop, Managing Data with R. This makes it much easier to absorb the basics in the
- [What Analytic Software are People Discussing?](https://r4stats.com/2013/02/12/what-analytic-software-are-people-discussing/) - by Robert A. Muenchen How can we measure the popularity or market share of analytic software? One way is to see what people are discussing. I'm in the process of updating my annual article, The Popularity of Data Analysis Software. Below is the newly updated Internet Discussion section. Don't bother to read the rest of the
- [R's 2012 Growth in Capability Exceeds SAS' All Time Total](https://r4stats.com/2013/03/19/r-2012-growth-exceeds-sas-all-time-total/) - by Robert A. Muenchen I'm slowly gathering all the data needed to update my ongoing article, The Popularity of Data Analysis Software. The section below is the latest installment. Growth in Capability The capability of all the software in this article has grown significantly over the years. It would be helpful to be able to
- [R Tackles Big Garbage](https://r4stats.com/2013/04/01/r-tackles-big-garbage/) - April 1, 2013 – Although the capabilities of the R system for data analytics have been expanding with impressive speed, it has heretofore been missing important fundamental methods. A new function works with the popular plyr package to provide these missing algorithms. Function names in plyr begin with two letters which indicate their input and output.
- [Knoxville R Users Group Formed, Free Training Offered](https://r4stats.com/2013/04/08/knoxville-r-users-group-formed-free-training-offered/) - R is popular free and open-source software for graphics and data analytics. The Knoxville R Users Group is being formed to help people learn R and improve their skills with it. Three departments of The University of Tennessee are working together to get it started: the Office of Information Technology, the National Institute for Computational Science's RDAV
- [SAS, SPSS, Stata Users: Learn R from Home June 17](https://r4stats.com/2013/05/08/r-sas-spss-stata-june/) - Has learning R been driving you a bit crazy? If so, it may be that you're "lost in translation." On June 17 and 19, I'll be teaching a webinar, R for SAS, SPSS and Stata Users. With each R concept, I'll introduce it using terminology that you already know, then translate it into R's very
- [Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS?](https://r4stats.com/2013/05/14/beginning-of-the-end-v2/) - [Since this was originally published in 2013, I've collected new data that renders this article obsolete. You can always see the most recent data here. -Bob Muenchen] I recently updated my plots of the data analysis tools used in academia in my ongoing article, The Popularity of Data Analysis Software. I repeat those here and
- [SAS Dominates Analytics Job Market; R up 42%](https://r4stats.com/2013/05/29/sas-dominates-analytics-jobs/) - I'm continuing to gather and analyze data to update The Popularity of Data Analysis Software. In this installment I cover the latest employment figures. Employment is important to us all, so what software skills are employers seeking? A thorough answer to this question would require a time consuming content analysis of job descriptions. However, we
- [Webinar: Managing Data with R](https://r4stats.com/2013/06/04/webinar-managing-data-with-r/) - Before you can analyze data, it must be in the right form. Join Revolution Analytics and me this June 21st for a 4-hour webinar that shows how to perform the most commonly used data management tasks in R. We will work through hands-on examples of R’s popular add-on packages such as plyr, reshape, stringr and lubridate. Many
- [Trends in the Analytics Job Market](https://r4stats.com/2013/08/07/trends-in-the-analytics-job-market/) - Tracking the job market for statistics, analytics, data mining and the like used to be a major undertaking. However, on November 10, 2011 the world's largest web site for job postings, Indeed.com, released a tool that allows you to examine trends of your own choosing. David Smith, of Revolution Analytics, recently used this tool to compare
- [Learn R and/or Data Management from Home October 7-11](https://r4stats.com/2013/09/11/learn-r-andor-data-management-from-home-october-7-11/) - If you want to learn R, or improve your current R skills, join me for two workshops that I'm offering through Revolution Analytics in October. If you already know another analytics package, the workshop, Intro to R for SAS, SPSS and Stata Users may be for you. With each R concept, I'll introduce it using terminology
- [What R Has Been Missing](https://r4stats.com/2013/10/17/what-r-has-been-missing/) - Workflow or flowchart user interfaces allow users to do complex data science or statistical analysis without having to learn to learn a programming language.
- [Knoxville R User's Group Meeting November 1](https://r4stats.com/2013/10/22/krug-november-1/) - The next meeting of the Knoxville R User's Group will consist of four 20-minute talks followed by an open planning session. It will take place on Friday, November 1, from 2:00 p.m. to 4:00 p.m. at The University of Tennessee, Haslam Business Administration Building, room 403 (1000 Volunteer Blvd., Knoxville, TN). RSVP at http://www.meetup.com/Knoxville-R-Users-Group. The
- [Learn R and/or Data Management from Home January or April](https://r4stats.com/2013/12/11/learn-r-or-data-management-january-or-april/) - If you want to learn R, or improve your current R skills, join me for two workshops that I'm offering through Revolution Analytics in January and April. If you already know another analytics package, the workshop, Intro to R for SAS, SPSS and Stata Users may be for you. With each R concept, I'll introduce it
- [r4stats.com 2013 in review](https://r4stats.com/2014/02/28/r4stats-com-2013-in-review/) - The WordPress.com stats helper monkeys prepared a 2013 annual report for this blog. Here's an excerpt: The Louvre Museum has 8.5 million visitors per year. This blog was viewed about 150,000 times in 2013. If it were an exhibit at the Louvre Museum, it would take about 6 days for that many people to see
- [SAS, SPSS, Stata Users: Learn R from Home April 21](https://r4stats.com/2014/03/11/sas-spss-stata-users-learn-r-from-home-april-21/) - Has learning R been driving you a bit crazy? If so, it may be that you're "lost in translation." On April 21 and 23, I'll be teaching a webinar, R for SAS, SPSS and Stata Users. With each R concept, I'll introduce it using terminology that you already know, then translate it into R's very
- [Learn to Manage Data at useR! 2014 or Online April 25](https://r4stats.com/2014/03/18/learn-to-manage-data-at-user-2014-or-online-april-25/) - Before you can analyze data, it must be in the right form. Join me on April 25th for a 4-hour webinar that shows how to perform the most commonly used data management tasks in R. We will work through hands-on examples of R’s popular add-on packages such as plyr, reshape, stringr, lubridate and sqldf. I'll also be
- [R Continues Its Rapid Growth](https://r4stats.com/2014/04/07/r-continues-its-rapid-growth/) - I've just updated the section below from The Popularity of Data Analysis Software. Note that the overall article is still under construction and all the figure numbers have changed from previous versions. Growth in Capability The capability of analytics software has grown significantly over the years. It would be helpful to be able to plot
- [JMBayes R package (webinar)](https://r4stats.com/2014/04/08/jmbayes-r-package-webinar/) - A free webinar will provide an introduction to the "JMBayes" R package which provides methods for Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach. Webinar Format: - Introduction to Joint Models and the JMBayes R package - Live demonstration - Question and Answer period Speaker: - Dimitris Rizopoulos, JMBayes Package Maintainer For
- [How Valuable is a #1 Ranking for Analytics Software?  Not as Much as You Might Think!](https://r4stats.com/2014/04/17/how-valuable-is-a-1-ranking-for-analytics-software-not-as-much-as-you-might-think/) - In my never-ending quest to study the Popularity of Data Analysis Software, I recently read the 2013 Edition of the Wisdom of Crowds Business Intelligence Market Study by Dresner Advisory Services, LLC. In it, I found the table below which displays the "Wisdom of Crowds", or what most people would call survey results. As you
- [The RSelenium R Package (Free Webinar)](https://r4stats.com/2014/05/06/the-rselenium-r-package-free-webinar/) - The Orange County R User Group (OC-RUG) will soon host a free webinar on the new "RSelenium" R Package which provides a set of R bindings for the Selenium 2.0 webdriver using the JsonWireProtocol. Using RSelenium, you can automate web browsers locally or remotely in order to test various web apps, such as Shiny applications
- [jpmml and R (Free Webinar)](https://r4stats.com/2014/07/28/jpmml-and-r-free-webinar/) - This free, global webinar will provide an introduction to jpmml, the world's leading open-source PMML scoring engine currently being utilized by companies such as Airbnb to rapidly deploy predictive models into production. Webinar Format: - What is PMML? - Building a predictive model in R and exporting it to PMML format - Deploying a PMML
- [Knoxville R Users' Group Meets September 3rd](https://r4stats.com/2014/08/12/knoxville-r-users-group-meets-september-3rd/) - The Knoxville R Users Group (KRUG) is hosting a brown bag viewing of RStudio’s webinar “Interactive Reporting” at 11am, Weds 3-Sept-2014 in 427 Hesler on the UTK campus “Hill” . Per RStudio.net, data scientist Garrett Grolemund and software engineer Joe Cheng will speak on how to make your R Markdown documents interactive, and then unleash
- [R Passes SPSS in Scholarly Use, Stata Growing Rapidly](https://r4stats.com/2014/08/20/r-passes-spss-in-scholarly-use-stata-growing-rapidly/) - by Robert A. Muenchen [Since this was originally published in 2014, I've collected new data that renders this article obsolete. You can always see the most recent data here. -Bob Muenchen] Here is my latest update to The Popularity of Data Analysis Software. To save you the trouble of reading all 25 pages of that article,
- [R Workshops Updated to Include the Latest Packages](https://r4stats.com/2014/08/27/r-workshops-updated-to-include-the-latest-packages/) - Two new R packages are quickly becoming standards in the R community: Hadley Wickham's dplyr and tidyr. The dplyr package almost completely replaces his popular plyr package for data manipulation. Most importantly for general R use, it makes it much easier to select variables. For example, if your data included variables for race, gender, pretest, posttest, and
- [Adding the SPSS MEAN.n Function to R](https://r4stats.com/2014/09/03/adding-the-spss-mean-n-function-to-r/) - SPSS contains a very useful set of functions that R lacks. If you’re lucky enough to have access to SPSS, you can use SPSS and R very well together. If not, it’s easy to add these functions to R. The functions perform calculations across values within each observation. Rather than limit you to removing missing
- [Updated: Why R is Hard to Learn](https://r4stats.com/2014/12/09/updated-why-r-is-hard-to-learn/) - I've updated one of my most widely read blog posts, Why R is Hard to Learn. It focuses on the aspects of R which tend to trip up beginners. The new version is over twice as long as the original and it is located under the Articles menu, making it easier to find. Of course
- [Learning R: Live Webinar, Interactive Self-Paced, or Site Visit?](https://r4stats.com/2014/12/15/ways-to-learn-r/) - My recent blog post, Why R is Hard to Learn, must have hit a nerve as it was read by over 6,000 people in its first two days online. If you’re using R to augment your work in SAS, SPSS or Stata or you're considering switching to R, my workshops can help minimize many of
- [SAS is #1...In Plans to Discontinue Use](https://r4stats.com/2014/12/30/sas-is-number-one-in-plans-to-discontinue/) - I've been tracking The Popularity of Data Analysis Software for many years now, and a clear trend is the decline of the market share of the bigger analytics firms, notably SAS and SPSS. Many people have interpreted my comments as implying the decline in the revenue of those companies. But the fields involved in analytics (statistics, data mining,
- [r4stats.com 2014 in review](https://r4stats.com/2015/01/13/2014-in-review/) - The WordPress.com stats helper monkeys prepared a 2014 annual report for this blog. Here's an excerpt: The Louvre Museum has 8.5 million visitors per year. This blog was viewed about 260,000 times in 2014. If it were an exhibit at the Louvre Museum, it would take about 11 days for that many people to see
- [Helping Your Organization Migrate to R](https://r4stats.com/2015/03/16/migrating-to-r/) - Moving a company from proprietary software such as SAS, SPSS, or Stata, is an expensive and time consuming task. This article describes the steps needed to make it easier and less expensive.
- [It's Analytics Survey Time!](https://r4stats.com/2015/03/20/its-analytics-survey-time/) - Every other year Rexer Analytics surveys Data Analysts, Predictive Modelers, Data Scientists, Data Miners, and all other types of analytic professionals, students, and academics regarding the software they use. I then update the main results in The Popularity of Data Analysis Software. Here's where you can take the survey: Survey Link: www.rexeranalytics.com/Data-Miner-Survey-2015-Intro.html Access Code: R8M4E2 Survey results
- [Fastest Growing Software for Scholarly Analytics: Python, R, KNIME...](https://r4stats.com/2015/03/30/fastest-growing-analytics-2015/) - In my ongoing quest to "analyze the world of analytics", I've added the following section below to The Popularity of Data Analysis Software: It would be useful to have growth trend graphs for each of the analytics packages I track, but collecting such data is too time consuming since it must be re-collected every year (since
- [Stata's Academic Growth Nearly as Fast as R's](https://r4stats.com/2015/05/11/statas-academic-growth/) - by Bob Muenchen Analytics tools take significant effort to master, so once learned people tend to stick with them for much of their careers. This makes the tools used in academia of particular interest in the study of future trends of market share. I've been tracking The Popularity of Data Analysis Software regularly since 2010,
- [I've Been Replaced by an Analytics Robot](https://r4stats.com/2015/05/18/ive-been-replaced-by-an-analytics-robot/) - Robots may replace data scientists and statisticians, in fact they already are being replaced and here's an example.
- [R Now Contains 150 Times as Many Commands as SAS](https://r4stats.com/2015/05/22/r-now-contains-150-times-as-many-commands-as-sas/) - by Bob Muenchen In my ongoing quest to analyze the world of analytics, I've updated the Growth in Capability section of The Popularity of Data Analysis Software. To save you the trouble of foraging through that tome, I've pasted it below. Growth in Capability The capability of analytics software has grown significantly over the years. It
- [R #1 by Wide Margin in Latest KDnuggets Poll](https://r4stats.com/2015/05/27/r-1-by-wide-margin-in-latest-kdnuggets-poll/) - The results of the latest KDnuggets Poll on software for Analytics, Big Data and Data Mining are out, and R has moved into the #1 position by a wide margin. I've updated the Surveys of Use section of The Popularity of Data Analysis Software to include a subset of those results, which I include here: ...The results
- [Estimating Analytics Software Market Share by Counting Books](https://r4stats.com/2015/06/09/estimating-analytics-software-market-share-by-counting-books/) - Below is the latest update to The Popularity of Data Analysis Software. Books The number of books published on each software package or language reflects its relative popularity. Amazon.com offers an advanced search method which works well for all the software except R and the general-purpose languages such as Java, C, and MATLAB. I did not find a
- [Free Webinar: Intro to SparkR](https://r4stats.com/2015/06/18/sparkr/) - Are you interested in combining the power of R and Spark? An "Intro to SparkR" webinar will take place on July 15, 2015 at 10 am California time. Everyone is welcome to attend. Agenda: - What is SparkR? - Recent improvements to SparkR - SparkR Roadmap - Live Demo - Q & A Speaker: Shivaram
- [Goals for the New R Consortium](https://r4stats.com/2015/07/28/goals-for-the-new-r-consortium/) - by Bob Muenchen The recently-created R Consortium consists of companies that are deeply involved in R such as RStudio, Microsoft/Revolution Analytics, Tibco, and others. The Consortium’s goals include advancing R’s worldwide promotion and support, encouraging user adoption, and improving documentation and tools. Those are admirable goals and below I suggest a few specific examples that
- [Rexer Analytics Survey Results](https://r4stats.com/2015/10/13/rexer-analytics-survey-results/) - Rexer Analytics has released preliminary results showing the usage of various data science tools. I've added the results to my continuously-updated article, The Popularity of Data Analysis Software. For your convenience, the new section is repeated below. Surveys of Use One way to estimate the relative popularity of data analysis software is though a survey. Rexer Analytics conducts
- [Using Discussion Forum Activity to Estimate Analytics Software Market Share](https://r4stats.com/2015/10/19/using-discussion-forum-activity-to-estimate-analytics-software-market-share/) - I'm finally getting around to overhauling the Discussion Forum Activity section of The Popularity of Data Analysis Software. To save you the trouble of reading all 43 pages, I'm posting just this section below. Discussion Forum Activity Another way to measure software popularity is to see how many people are helping one another use each package

## Pages

- [Home](https://r4stats.com/) - Welcome to r4stats.com. This site's mission is to analyze the world of data science, help people learn to use R and review graphical user interfaces that make R easier to use. R is free, open-source software for data science that is similar to the "big three" commercial packages: SAS, SPSS, and Stata. In the menus
- [A Comparative Review of the BlueSky Statistics GUI for R](https://r4stats.com/articles/software-reviews/bluesky/) - A comparative review of the BlueSky Statistics Graphical User Interface (GUI) for the R language.
- [BlueSky Statistics User Guide](https://r4stats.com/books/bluesky-statistics-user-guide/) - BlueSky Statistics User Guide The BlueSky Statistics User Guide, Third Edition, is available online below. The search icon is the magnifying glass in the upper left corner. Click it again to make it disappear. The table of contents and index are all live links to each topic. The first 19 pages of the book are the preface, table of
- [R Graphical User Interface Comparison](https://r4stats.com/articles/software-reviews/r-gui-comparison/) - By Robert A. Muenchen, updated January 16, 2026 With so many detailed reviews of Graphical User Interfaces (GUIs) for R available, which should you choose? It’s not too difficult to rank them based on the number of features they offer, so I'll start there. Then, I'll follow with a brief overview of each. I’m basing the counts
- [A Comparative Review of the RKWard GUI for R](https://r4stats.com/articles/software-reviews/rkward/) - A comparative review of the RKWard Graphical User Interface (GUI) for the R language
- [BlueSky Statistics Intro Guide](https://r4stats.com/books/bluesky-statistics-intro-guide/) - [This guide is now out of print. The material is available in the latest edition of the BlueSky Statistics User Guide.] BlueSky Statistics is an easy-to-use and powerful menu-based system for data science. Its menus and dialog boxes make quick work of graphs and analyses without having to learn to program. Behind the scenes, it
- [A Comparative Review of the JASP Statistical Software](https://r4stats.com/articles/software-reviews/jasp/) - by Robert A. Muenchen, updated March 31, 2025 Introduction JASP is a free and open-source statistics package that targets beginners looking to point-and-click their way through analyses. This article is one of a series of reviews that aim to help non-programmers choose the Graphical User Interface (GUI) for R which best meets their needs. Most
- [Helping Your Organization Migrate to R](https://r4stats.com/articles/migrate-to-r/) - Recommended steps to migrate or transition an organization from proprietary software such as SAS, SPSS, or Stata to the R programming environment.
- [A Comparative Review of the Rattle GUI for R](https://r4stats.com/articles/software-reviews/rattle/) - A comparative review of the Rattle Graphical User Interface (GUI) for Machine Learning and Data mining using the R language
- [A Comparative Review of the R-Instat GUI for R](https://r4stats.com/articles/software-reviews/r-instat/) - by Robert A. Muenchen, updated September 2, 2024 Introduction R-Instat is a free and open-source graphical user interface for the R language that focuses on people who want to point-and-click through data science analyses. Written in Visual Basic, it is currently only available for Microsoft Windows. However, a Linux version is in development using the A comparative review of the R-Instat Graphical User Interface (GUI) for the R Language.
- [A Comparative Review of the jamovi GUI for R](https://r4stats.com/articles/software-reviews/jamovi/) - A comparative review of the jamovi Graphical User Interface (GUI) updated in 2018
- [How to Search for Data Science Articles](https://r4stats.com/articles/how-to-search-for-data-science-articles/) - By Robert A. Muenchen, updated 12/30/2023 This article describes the technical details of how to search for scholarly articles in the field of data science. The goal here is not to optimize the search for a particular article, but rather to find all articles that either use or write about a particular software package. Counts
- [How to Search for Data Science Jobs](https://r4stats.com/articles/how-to-search-for-data-science-jobs/) - by Robert A. Muenchen, updated 12/30/2023 This article describes the technical details of searching for jobs in the field of data science. The results of the searches are displayed and discussed in The Popularity of Data Science Software. Data Science Terms Some software used for data science is also used for many other tasks. Let's
- [A Comparative Review of the R Commander GUI for  R](https://r4stats.com/articles/software-reviews/r-commander/) - A comparative review of the R Commander Graphical User Interface (GUI) for the R language
- [A Comparative Review of the R AnalyticFlow GUI for R](https://r4stats.com/articles/software-reviews/r-analyticflow/) - by Robert A. Muenchen, updated 12/15/2022 Introduction This is one of a series of reviews that aim to help non-programmers choose the Graphical User Interface (GUI) for R that is best for them. Additionally, these reviews include cursory descriptions of the programming support that each GUI offers. Additionally, these reviews include cursory descriptions of the programming support
- [A Comparative Review of the Deducer GUI for R](https://r4stats.com/articles/software-reviews/deducer/) - A comparative review of the Deducer Graphical User Interface (GUI) for the R language.
- [Software Reviews](https://r4stats.com/articles/software-reviews/) - Reviews of data science software, especially those related to the R language.
- [Why You Should Trust My Software Reviews](https://r4stats.com/articles/software-reviews/why-you-should-trust-my-reviews/) - I'm reticent to "toot my own horn," but a few people have asked if they can trust my reviews now that I've written the BlueSky Statistics User Guide. I think you can, and here is why. The short answer is that they are objective and easily verifiable. Each piece of software offers its unique style
- [The Popularity of Data Science Software](https://r4stats.com/articles/popularity/) - Comparison of the popularity or market share of data science, statistics, and advanced analytics software: SAS, SPSS, Stata, Python, R, Mathworks, MATLAB, KNIME, RapidMiner
- [Examples](https://r4stats.com/examples/) - How to solve a wide range of data analysis / data science problems using the R language.
- [A Comparative Review of Qualtrics, QuestionPro, SurveyGizmo, & SurveyMonkey](https://r4stats.com/articles/software-reviews/survey-tools/) - Review comparing the web design tools: Qualtrics, QuestionPro, SurveyGizmo, SurveyMonkey
- [The Popularity of Point-and-Click GUIs for R](https://r4stats.com/articles/guipop/) - Popularity or Market Share of graphical user interfaces (GUI) for the R language, including the R Commander, jamovi, RKWard, and BlueSky Statistics.
- [Why R is Hard to Learn](https://r4stats.com/articles/why-r-is-hard-to-learn/) - Description of aspects of the R language that make it hard to learn, and what advantages those aspects add.
- [Graphics, Traditional](https://r4stats.com/examples/graphics-traditional/) - Example plots, graphs, and charts, using R's traditional or base graphics package
- [Enhancing Output](https://r4stats.com/examples/enhancing-output/) - This page shows the use of value and variable labels, as well as how to save output in HTML and LaTeX. The books offer much more coverage of factors than simply value labels. The practice data set is shown here. The programs and the data they use are also available for download here. Examples that
- [Data Management](https://r4stats.com/examples/data-management/) - Data management examples using the R language
- [Data Import](https://r4stats.com/examples/data-import/) - Examples of R code to read in various types of data sets
- [Data Export](https://r4stats.com/examples/data-export/) - Examples of R code to export data
- [Basic R Programming](https://r4stats.com/examples/programming/) - R is a very flexible and powerful programming language, as well as a package that is written using that language (and others like C). The following program demonstrates many of its basic features. You can cut and paste it into R, or download the file that includes it from here. If you run it line
- [Calling R from Other Software](https://r4stats.com/articles/calling-r/) - How to call R software routines from other software such as SAS, SPSS, JMP, Stata, and Statistica
- [Statistics](https://r4stats.com/examples/statistics/) - Below is a comparison of the commands used to perform various statistical analyses in R, SAS, SPSS, and Stata. For R functions that are not included in base R, the library() function loads the package that contains the function right before it is used. The variables gender and workshop are categorical factors, and q1 to
- [Selecting Variables and Observations](https://r4stats.com/examples/selecting-vars-and-obs/) - Selecting variables in most statistics packages is very simple. For example, SAS uses VAR Q1-Q4 to select variables q1, q2, q3, and q4. Selecting observations, on the other hand, usually uses logic like GENDER=="F" to select all the females. That logic is used in various commands like WHERE, IF, and so on. R is radically
- [Interview Regarding R for SAS and SPSS Users](https://r4stats.com/books/sas-spss-interview/) - Ajay Ohri interviewed Bob Muenchen on October 16, 2008. It originally appeared at: http://decisionstats.wordpress.com/2008/10/16/r-for-sas-and-spss-users and is reprinted here with permission. Note-Robert Muenchen (pronounced Min’chen) is the author of R for SAS and SPSS users, and his forthcoming book is an extensive tutorial on anyone wanting to learn either SAS,SPSS,or R or even to migrate from
- [Graphics, ggplot2](https://r4stats.com/examples/graphics-ggplot2/) - Example plots, graphs, and charts, using R's ggplot2 package
- [Text Analysis with R](https://r4stats.com/workshops/text-analysis-with-r/) - Hands-on workshop using R for text analysis, content analysis, latent semantic analysis, latent dirichlet allocation.
- [R for SAS, SPSS and Stata Users](https://r4stats.com/workshops/r-for-sas-spss-stata-users/) - On-site introductory training / workshop on the R language for people who know SAS, SPSS, or Stata.
- [On Site Workshops](https://r4stats.com/workshops/on-site/) - I enjoyed teaching R workshops for many years, but I have retired from teaching them. I leave the workshop pages up just to let people know. Workshops presented at your site are usually far more interactive and successful than webinars or online videos. These are the general steps followed for an on-site workshop; the actual days
- [Managing Data with R](https://r4stats.com/workshops/managing-data-with-r/) - On-site workshop / training on data management / wrangling using the R language.
- [Machine Learning with R](https://r4stats.com/workshops/machine-learning-with-r/) - I enjoyed teaching R workshops for many years, but I have retired from teaching them. I leave the workshop pages up just to let people know. R has a wide variety of machine learning (ML) models. While the many ML functions solve similar problems by predicting various outcomes, they use a confusing array of different
- [Introduction to Modern R](https://r4stats.com/workshops/introduction-to-modern-r/) - On-site workshop / training on the R language in its most modern form. Uses tidyverse packages such as dplyr, tidyr, readr, readxl, haven, tibble, etc.
- [Workshops](https://r4stats.com/workshops/) - On-site training / workshops on how to use the R language for data science, statistics, text analysis, machine learning, or data management / wrangling.
- [Author Bios](https://r4stats.com/books/authors/) - Robert A. Muenchen is the author of R for SAS and SPSS Users, R for Stata Users, with Joe Hilbe, and Introduction to Biomedical Data Science with Bob Hoyt, et al. He is also the creator of r4stats.com, a popular web site devoted to analyzing trends in data science software, reviewing such software, and helping
- [Introduction to Biomedical Data Science](https://r4stats.com/books/biomedical-data-sci/) - Introduction to Biomedical Data Science aims to fill the data science knowledge gap experienced by many clinical, administrative, and technical staff. The textbook begins with an overview of what biomedical data science is and then embarks on a tour of topics beginning with spreadsheet tips and tricks and ending with artificial intelligence. In between, important
- [Data Preparation and Exploration](https://r4stats.com/books/data-prep-and-exploration/) - Data scientists spend more than two-thirds of their time cleaning, preparing, exploring, and visualizing data before it is ready for modeling and mining. This textbook covers the important steps of data preparation and exploration that anyone who deals with data should know. This textbook is an excellent companion text for our other textbook Introduction to
- [Free Version](https://r4stats.com/books/free-version/) - The official free version of R for SAS and SPSS Users from the author himself. The Downloads area contains the accompanying program code and data sets.
- [Downloads](https://r4stats.com/books/downloads/) - The code and data sets that accompany the books R for SAS and SPSS Users and R for Stata Users
- [Books](https://r4stats.com/books/) - This section provides descriptions and reviews of my books: BlueSky Statistics User Guide BlueSky Statistics Intro Guide R for SAS and SPSS Users R for Stata Users Introduction to Biomedical Data Science Data Preparation and Exploration The free early version of R for SAS and SPSS Users is also still available here. The programs, data sets,
- [Book Reviews](https://r4stats.com/articles/book-reviews/) - Brief reviews of data science books, especially those using the R programming language.
- [Machine Learning with R at PAW 2020](https://r4stats.com/workshops/paw2020/) - Machine Learning with R workshop at Predictive Analytics World, 2020
- [R Package Equivalents to SAS & SPSS](https://r4stats.com/articles/add-ons/) - A comparative list of SAS and SPSS add-on products and their equivalent R packages.
- [Workshop Participants](https://r4stats.com/workshops/workshop-participants/) - People from the following organizations have attended my workshops over the years. 1degreenorth20th Century FoxAbbott LabsAbremod, LLCAcademic TechnologyAccentureAccess GroupACS, a Xerox CompanyAcxiom CorporationAdams State CollegeAE Business SolutionsAfo_StatAginity, LLCAiAIRS, UPEIAlberta Health Service - Cancer CareAlcatel-LucentAllegheny CollegeAllstateAlma CollegeAlteryxAmerican Century InvestmentsAmerican Public University SystemAmgenAmpathAnalytic InvestorsAnalyticsAnne Arundel Community CollegeAOLARAASTATAspen Marketing ServiceAstraZeneca PharmaceuticalsAsurionAvanzadoAvaya IncorporatedAxionConnect Infosolutions.AxtriaAZDigitalFarm Bain & CompanyBalboa InsuranceBank of
- [Privacy Policy](https://r4stats.com/privacy-policy/) - Who we are Our website address is: http://r4stats.com. What personal data we collect and why we collect it Comments When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection. An anonymized string created from
- [Old SPSS Catalog](https://r4stats.com/spss-catalog/) - SPSS is extremely popular at The University of Tennessee. New versions go through "beta testing" during which testers work the software as hard as possible, trying to find bugs and testing out new features. In 2003, the company added a table building interface that is both easy to use and quite powerful. I commented on
- [Photography Credits](https://r4stats.com/workshops/photography/) - The photograph in the header of this site was taken by Mike O'Neil, a friend and fellow statistician. It is a picture of one of the oldest buildings on The University of Tennessee campus, Ayers Hall. The workshop photographs and slide show were done by Steve Chastain, a professional photographer based in Knoxville, Tennessee.
- [Articles](https://r4stats.com/articles/) - The articles listed on the menu above are topics that are refreshed regularly. The most popular by far is The Popularity of Data Science Software.
- [Using Excel for Data Entry](https://r4stats.com/articles/excel-data-entry/) - Tips for entering statistical data using Microsoft Excel.
- [A Practice Data Set](https://r4stats.com/examples/mydata/) - Most of the example programs on this web site and in the accompanying books use a small artificial data set named "mydata." It's small enough to enter easily but more importantly it allows you to see the full effect of many different data management tasks. The data set is a pretend survey of students who
- [R Workshop Reviews](https://r4stats.com/workshops/workshop-comments/) - Below are participants' quotes from workshop evaluations. “I effectively learned in a compressed day what I usually learn in a month. Bob was able to take the complex and make it simple. I now have a much better understanding of how functions and commands are organized within the R universe.” “I was surprised that the
- [R for Stata Users](https://r4stats.com/books/r4stata/) - R for Stata Users introduces R using Stata terminology with which you are already familiar. It steps through more than 30 programs written in both languages, comparing and contrasting the two packages' different approaches. When finished, you will be able to use R in conjunction with Stata, or separately. You will be able to import data,
- [R for SAS and SPSS Users](https://r4stats.com/books/r4sas-spss/) - R for SAS and SPSS Users introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages'
- [Miscellaneous](https://r4stats.com/misc/) - This section of the site contains short reviews of other books, an amusing old SPSS catalog cover and a description of the photograph in this site's banner.
- [Second Edition](https://r4stats.com/books/second-edition/) - The second edition of R for SAS and SPSS Users adds 216 pages on topics including: It is easier to find reference material using the new list of tables, list of figures and the index which now has four times as many entries. New sections show how to run R from within Base SAS, SAS
- [Interview Regarding R for Stata Users](https://r4stats.com/books/stata-interview/) - Ajay Ohri interviewed Bob Muenchen on June 29, 2010 at http://decisionstats.com/2010/06/29/interview-r-for-stata-users/. It is reprinted here with permission. Describe your new book R for Stata Users and how it is helpful to users. Stata is a marvelous software package. Its syntax is well designed, concise and easy to learn. However R offers Stata users advantages in two

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