The Jupyter notebooks in this repository are "warm-up" guides we like to use at the beginning of select OCRUG meetings to introduce R through hands-on immersion with basic concepts. They are intended to run for about 15 - 20 minutes. These notebooks themselves are meant as a sort of presenter's guide. The idea is that the presenter will simply present through their R command prompt while participants follow on their own machines. The notebooks provide commands and explanations to follow in the absence of tangents. But spontaneous tangents are always welcome. There are no deadlines or schedules.
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Distributions - These notebooks investigate basic concepts of probability distributions as a means to exercise R commands for sampling, plotting, and working with vectors.
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Split-Apply-Combine - These notebooks run through short scenarios on split-apply-combine topics.
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ISLR - These notebooks detail sections of labs from Introduction to Statistical Learning with R.