15. A/B Testing, Predictive Modeling, and Population Projection in R
In the last chapter, we learned how to set up our R environment and R data objects, and how to sample from distributions. This chapter covers R implementation of A/B testing, predictive modeling, and population projection, as described in Chapters 6–9. By the end of this chapter, you should be able to:
Run an A/B test in R.
Analyze the results of an A/B test in R.
Build simple clustering and predictive models in R.
Cross-validate those models in R.
Project populations from your web product.
Understand and plot the long run dynamics of populations.
In this section, we’ll go through the technical aspects of defining, building, and analyzing an A/B test. First, we’ll build an ...
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