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R GUI Update: BlueSky User’s Guide, New Features

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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’s Guide, a draft of which you can read about and download here. Although I’m spending a lot of time on BlueSky, I still plan to be as obsessive as ever about reviewing all (or nearly all) of the R GUIs, which is summarized here.

The new data management features in BlueSky are:

Model Fitting / Tuning

One of the more interesting features in BlueSky is its offering of what they call Model Fitting and Model Tuning. Model Fitting gives you direct control over the R function that does the work. That provides precise control over every setting, and it can teach you the code that the menus create, but it also means that model tuning is up to you to do. However, it does standardize scoring so that you do not have to keep up with the wide range of parameters that each of those functions need for scoring. Model Tuning controls models through the caret package, which lets you do things like K-fold cross-validation and model tuning. However, it does not allow control over every model setting.

New Model Fitting menu items are:

There are so many Model Tuning entries that it’s easier to just paste in the list I updated on the main BlueSkly review that I updated earlier this morning:

You can download the free open-source version from https://BlueSkyStatistics.com.

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