Bootstrapping is a statistical technique for analyzing the distributional properties of sample data (such as variability and bias). It has many uses, and is generally quite easy to implement. Continue reading to learn how you can perform a bootstrap procedure in R!
Bootstrapping in R
Bootstrapping in R
Matthew Parker
Doctoral Student, Simon Fraser University
Matthew Parker is a PhD student at Simon Fraser University, and a founding member of DSS Blogs.