I just finished developing a couple of statistical analysis R scripts/functions for a customer. The work was pretty mundane: read several text files, merge the results, reshape the intermediate data, calculate some new variables, take care of missing values, attend to meta data, execute a few predictive models and graph the results.

Then repeat the models and graphs for groups or sub-populations marked by distinct values of one or more dimension variables of interest. The latter step is commonly referred to as “by-group processing.”

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