The rio package combines the import/export capabilities of many other packages, and it is easy to use. BlueSky and R-Instat come out on top not just due to their excellent selection of data-wrangling features but also due to their use of the rio package for importing and exporting files. This category also includes various types of data input and output. This category is dominated by data-wrangling capabilities, where data scientists and statisticians spend most of their time. The number of ease-of-use features that each GUI has.įigure 3 shows the general usability features each GUI offers. JASP comes out on top here, with jamovi and BlueSky right behind. They get one point each for being able to install, start, and use the GUI to its maximum effect, including publication-quality output, without knowing anything about the R language itself. To make this plot consistent with the others below, the larger the rank, the better.įor the category of ease-of-use, I’ve defined it primarily by how well each GUI does what GUI users are looking for: avoiding code. Mean of each R GUI’s ranking of the four categories. As my detailed reviews of those two point out, they are extremely different pieces of software! Rather than spend more time on this summary plot, let’s examine the four categories separately. ![]() We see that BlueSky is in the lead, with R-Instat close behind. R Commander is abbreviated Rcmdr, and R AnalyticFlow is abbreviated RAF. If you decide to make your own graphs, I’d love to hear from you in the comments below.įigure 1 shows how the various GUIs compare on the average rank of the four categories. I’m putting the details of each measure in the appendix so you can adjust the figures and create your own categories. Studying every menu and dialog box is very time-consuming, but that is what I’ve tried to do. Some software has fewer menu choices, depending instead on more detailed dialog boxes. This is trickier data to collect than you might think. ![]() I’m basing the counts on the number of dialog boxes in each category of four categories: It’s not too difficult to rank them based on the number of features they offer, so let’s start there. ![]() Having completed several detailed reviews of Graphical User Interfaces (GUIs) for R, let’s compare them.
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