![]() ![]() Once you realize that the biggest challenge is to make the right choices and then interpret your results, you become less hung up about the “right” software. Probably the biggest challenge is the “hey, this is all text!” shock when you first open R (or typically Rstudio these days). A nice touch are the interactive tables in the output, where you can customize to some degree.Įxciting as Blue Sky Statistics and other GUI are at first sight, I’m gradually becoming less excited about GUI for R. The models offered by Blue Sky Statistics are fine for many uses - for those not living on the cutting edge. Nice as the idea is, it is defeated by custom commands like BSkyOpenNewDataset() that we don’t normally use. This is a feature we know from the R Commander, and ostensibly the aim is to allow users to wean from the graphical interface and move to the console. The dialogs are quite intuitive if you are familiar with SPSS, and they can also produce R code. I was very happy to see that Blue Sky Statistics offers many options for data handling, like recoding, merging, computing variables, or subsetting - that’s much better than what say jamovi offers at the moment. I note that it comes with a polished interface and this data editor that reminds us of Excel. Blue Sky Statistics is another option for those seeking SPSS “simplicity” with R power underneath.īlue Sky Statistics is available for Windows, and is open source. We also find a review of Blue Sky Statistics. Bob Munchen has reviewed a few more options: Deducer, RKWard, Rattle, and the good old R Commander (in the screenshot on the left). I have written about several free alternatives to SPSS, including PSPP, Jamovi, and JASP.
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