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newTutorial-

learning how to use github with Git bash and R Markdown

Non-parametric bootstrap

NPsimXsample <- replicate(k, sample(Day1Waiting, replace = TRUE)) NPsimYsample <- replicate(k, sample(Day2Waiting, replace = TRUE))

Compute mean differences of n1 & n2 simulated observations k times:

NPsimMeanDifs <- apply(NPsimXsample, 2, mean) - apply(NPsimYsample, 2, mean)

find the two relevant quantiles of k simulated mean differences

quantile(NPsimMeanDifs, c(0.025,0.975)) # i.e. 95% Confidence Interval

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