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Summary of philosophy, tips, and ideology from 'Efficient R programming' by Colin Gillespie and Robin Lovelace.
ModelR, dplyr, and tidy vignettes were also used used.
Philosophy proposed here from those ideas is that efficient learning, planning, workflows, and package selection lead to the most parsimonious and effective statistics. Efficient coding is similar to effective stats that apply more global models with fewer tests and therefore reduced likelihood of inflated table-wide errors. Minimizing assumptions is also an efficient approach to statistics.