@yanivbrandvain @SilasTittes You might have a look at the mosaic package, which offers a "do" function that makes it easy to create bootstrap and permutation distributions. This is what I use to teach intro stats - see: https://t.co/ElxUP5Qx6a
I had been looking for a good how-to guide for bootstrapping in R -- and now there is one! A great introductory guide on resampling methods
Resampling-based methods for biologists https://t.co/BNqlVT7wJr
@LarkinPowell @Todd_W_Arnold Here is the link: https://t.co/ElxUP5PZgC. In addition to providing some worked examples, we show how resampling-based methods can be used to teach fundamental concepts in statistics (with support from in the statistical education literature).
"Resampling-based methods for biologists" Pedagogical article that is also useful for non-biologists https://t.co/Q0D0SpFgS6 @thePeerJ #OpenAccess
feat #rstats mosaic package https://t.co/CZtAt7miCP
Resampling-based methods for biologists: https://t.co/XZXQq6N1VF @FiebergJohn @ThisisStats #rstats attractive methods for tackling challenging problems across a broad range of applications #datascience https://t.co/p2ZuyZFHMH
Resampling-Based Methods for Biologists https://t.co/OenHkPF02Z via @thePeerJ Not read yet, skimming through seems like a paper I will have my "Numerical Ecology" students reading next year.