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Category Archives: R
Is Scholarly Use of R 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 … Continue reading
Posted in Analytics, Data Science, R, SPSS, Statistics
7 Comments
New Versions of R GUIs: BlueSky, JASP, jamovi
It has been only two months since I summarized my reviews of pointandclick front ends for R, and it’s already out of date! I have converted that post into a regularlyupdated article and added a plot of total features, which … Continue reading
Posted in Data Science, Graphical User Interfaces, R, Statistics, Uncategorized
2 Comments
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. Continue reading
Posted in Analytics, Data Science, Python, R, SAS, SPSS, Stata, Statistics
4 Comments
Comparing PointandClick Front Ends for R
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. Continue reading
Posted in Analytics, Data Science, Graphical User Interfaces, Graphics, R, Uncategorized
3 Comments
A Comparative Review of the JASP Statistical Software
JASP is a free and open source statistics package that targets beginners looking to pointandclick their way through analyses. This article is one of a series of reviews which aim to help nonprogrammers choose the Graphical User Interface (GUI) for R, which best meets their needs. Continue reading
Posted in Data Science, Graphical User Interfaces, R, Uncategorized
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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
3 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