There can be a difference between IDE choice among professionals and the role of an IDE in introducing people to the ecosystem. On ramps don't start at the target elevation.
For what I see, the first and foremost initiating factor for a statistical package is education, and second it's available methods/packages. You have universities where you can clearly see that the predominant taught package is Stata, or R (and in the latter, the choice of UI is mostly arbitrary).
In the end though, unless you want to reimplement methods, you can count on having R packages for any method you can think of.
Few statisticians though spend the time to evaluate different IDEs than what they where taught. I've "converted" many still using Rwin.
In the end though, unless you want to reimplement methods, you can count on having R packages for any method you can think of.
Few statisticians though spend the time to evaluate different IDEs than what they where taught. I've "converted" many still using Rwin.