From a61b1484031d6cb52292c7f350d60a7fa07b7fe2 Mon Sep 17 00:00:00 2001 From: Federico Marini Date: Fri, 26 Feb 2021 12:37:11 +0100 Subject: [PATCH] bootstrapPing --- 03-StatsForGenomics.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/03-StatsForGenomics.Rmd b/03-StatsForGenomics.Rmd index 6a64a1a..4c21566 100644 --- a/03-StatsForGenomics.Rmd +++ b/03-StatsForGenomics.Rmd @@ -320,7 +320,7 @@ original sample. Then, we calculate the parameter of interest, in this case the repeat this process a large number of times, such as 1000. At this point, we would have a distribution of re-sampled means. We can then calculate the 2.5th and 97.5th percentiles and these will be our so-called 95% confidence interval. This procedure, resampling with replacement to -estimate the precision of population parameter estimates, is known as the __bootstrap resampling__ or __bootstraping__.\index{bootstrap resampling} +estimate the precision of population parameter estimates, is known as the __bootstrap resampling__ or __bootstrapping__.\index{bootstrap resampling} Let's see how we can do this in practice. We simulate a sample coming from a normal distribution (but we pretend we don't know the