Category Archives: R

Posts about the open source R language

Updated Review: jamovi User Interface to R

Posted on January 9, 2019 by Bob Muenchen

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, … Continue reading →

Posted in Analytics, Data Science, Graphical User Interfaces, R, Statistics, Uncategorized | Leave a comment

BlueSky Statistics 5.40 GUI for R Update

Posted on October 1, 2018 by Bob Muenchen

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 … Continue reading →

Posted in Analytics, Data Science, Graphical User Interfaces, R, SPSS, Statistics, Uncategorized | 2 Comments

A Comparative Review of the R Commander GUI for R

Posted on July 9, 2018 by Bob Muenchen

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 … Continue reading →

Posted in Data Science, Graphical User Interfaces, R | 1 Comment

A Comparative Review of the Rattle GUI for R

Posted on July 2, 2018 by Bob Muenchen

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. … Continue reading →

Posted in Data Science, Graphical User Interfaces, R, Statistics | Leave a comment

A Comparative Review of the BlueSky Statistics GUI for R

Posted on June 21, 2018 by Bob Muenchen

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 … Continue reading →

Posted in Analytics, Data Mangement, Data Science, Graphical User Interfaces, Graphics, R, Statistics | 3 Comments

A Comparative Review of the Deducer GUI for R

Posted on June 13, 2018 by Bob Muenchen

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. … Continue reading →

Posted in Graphical User Interfaces, R, Statistics | 1 Comment

The Popularity of Point-and-Click GUIs for R

Posted on June 12, 2018 by Bob Muenchen

  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 … Continue reading →

Posted in Data Science, Graphical User Interfaces, R, Statistics | 2 Comments

A Comparative Review of the RKWard GUI for R

Posted on May 24, 2018 by Bob Muenchen

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 … Continue reading →

Posted in Data Science, Graphical User Interfaces, R, Statistics | 3 Comments

Using Excel for Data Entry

Posted on March 28, 2018 by Bob Muenchen

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 … Continue reading →

Posted in Data Science, R, SAS, SPSS | 4 Comments

Gartner’s 2018 Take on Data Science Tools

Posted on February 26, 2018 by Bob Muenchen

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, … Continue reading →

Posted in Analytics, Data Science, Python, R, SAS, Statistics, Uncategorized | 3 Comments

privacy policy