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It has a lot of advantages, but a few challenges as well.
A long-time SAS and SPSS user, instructor Kim Love took up R a few years ago, and has since run with it.
In this webinar, Kim will lay it all out for you: the good, the bad, and the useful resources of R.
Kim’s expertise includes regression and linear models, categorical data, generalized linear models, mixed effects models, nonlinear models, repeated measures, and experimental design. She has worked as a statistical consultant and collaborator in multiple professional roles, most recently as the associate director of the University of Georgia Statistical Consulting Center.