Another feature that facilitates explorations of data by regression are tools such as 'Best-subset linear regressions' that allow finding the independent variables that explain the most variance. The selection of ANOVA designs is very good, as is the selection of post-hoc tests offered. I also like the very clear menu layout, and the ability easily to run both parametric and non-parametric analyses, and to transform data.

I find 'Omit/select/restore' incredibly useful for exploratory analyses because it allows me to partition data sets and focus analyses only on portions of them WITHOUT having to save a multitude of partitioned files under a large number of different file names. Although I don't use Statistix to produce figures for publications, I'll often model my publication graphs on those quickly drawn with Statistix. I always tell students, 'before you run any statistical analyses, GRAPH your data,' and Statistix makes that really easy. For me, its best features are easy access to graphical looks at the data and the 'Omit, select, restore' command. Puntos a favor: Statistix is my 'go to' program for most initial analyses of experiment data. 'Statistix (which I've used for may years) is great for EXPLORATORY data analyses.'

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