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Category Archives: R
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 … Continue reading
Posted in Analytics, Data Science, Graphical User Interfaces, R, Uncategorized
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R GUI Update: BlueSky User’s Guide, New Features
The BlueSky Statistics graphical user interface (GUI) for the R language has added quite a few new features (described below). I’m also working on a BlueSky User Guide, a draft of which you can read about and download here. [Update: … Continue reading
Posted in Analytics, Data Mangement, Data Science, Graphical User Interfaces, R, Uncategorized
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Updates to R GUIs: BlueSky, jamovi, JASP, & RKWard
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 … Continue reading
Posted in Analytics, Data Science, Graphical User Interfaces, R
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Biomedical Data Science Textbook Available
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 … Continue reading
Posted in Analytics, Data Science, Graphical User Interfaces, Python, R, Statistics, Uncategorized
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A Comparative Review of the R AnalyticFlow GUI for R
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 … Continue reading
Posted in Data Science, Graphical User Interfaces, R, Uncategorized
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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 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 … Continue reading
Posted in Data Science, Graphical User Interfaces, R, Statistics, Uncategorized
3 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 Point-and-Click 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 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. Continue reading
Posted in Data Science, Graphical User Interfaces, R, Uncategorized
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