Chapter 1, Getting Started with R and Statistics, reviews a variety of techniques in R for performing data processing, data analysis, and plotting. We will also explain how to work with some basic statistical techniques, such as sampling, maximum likelihood estimation, and random number generation. In addition, we will present some useful coding techniques, such as C++ functions using Rcpp, and R6Classes. The former will allow us to add high-performance compiled code, whereas the latter will allow us to perform object-oriented programming in R.
Chapter 2, Univariate and Multivariate Tests for Equality of Means, explains how to answer the most basic statistical question: do two (or possibly more) populations have the ...
