Doing A/B-testing with Google Analytics and R, Part 2
Recently I described a way to do [A/B-testing with Google Analytics and R](/2015/08/20/doing-a-b-testing-with-google-analytics-and-r/. I wrote about tests with a two-way outcome: bounced or not bounced.
But what do we do when the metric has more than two possible outcomes? Let’s say something like sessionDuration or pageLoadTime. Then Google just gives you an aggregated value like avgSessionDuration or avgPageLoadTime. You don’t get any information about the distribution of this metric.
So you have to do it on your own!