Search r4stats.com

Recent Posts
Subscribe to r4stats.com
Category Archives: R
Data Science Software Used in Journals: Stat Packages Declining (including R), AI/ML Software Growing
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 … Continue reading
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Stata, Statistics, Uncategorized
3 Comments
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 regularlyupdated article, The Popularity of Data Science Software. Continue reading
Posted in Analytics, Data Science, R, SAS, SPSS, Statistics, Uncategorized
2 Comments
Gartner’s 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: Continue reading
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Statistics, Uncategorized
Tagged Data Science, Machine Learning, Statistics
5 Comments
Updated Review: jamovi User Interface to R
Last February I reviewed the jamovi menubased 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
BlueSky Statistics 5.40 GUI for R Update
It has been just a few months since I reviewed five free and opensource pointandclick 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
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 pointandclicking 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
5 Comments
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 pointandclick 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
Introduction BlueSky Statistics’ desktop version is a free and open source graphical user interface for the R software that focuses on beginners looking to pointandclick 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
9 Comments
A Comparative Review of the Deducer GUI for R
Introduction Deducer is a free and open source Graphical User Interface for the R software, one that provides beginners a way to pointandclick 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
4 Comments
The Popularity of PointandClick GUIs for R
Pointandclick 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