Analysis of the Data Using the R Package sensR

This chapter will cover in more detail how to actually analyze sensory discrimination data. This includes (1) hypothesis testing by p-value computation and by using critical values as well as confidence intervals; (2) discrimination- as well as similarity-focused analyses; (3) d-prime calculations in several settings together with replicated data analysis by (corrected) beta-binomial models; and also (4) a number of perspectivizing tutorials.

The open source software R will be used throughout, where the R-package sensR will play a major role, but other packages, such as the ordinal package, are also used. The general form is tutorial-like with specific examples taken from the chapters of this book. In addition, how R and the package can be used instead of statistical tables, often otherwise reproduced in textbooks, will be shown..