Preface

This booklet is written as accompaniment to the online tutorial on Statistics with R (Basics), held as part of the workshop on Experimental Methods in Language Acquisition Research (EMLAR, https://emlar.wp.hum.uu.nl/), Utrecht, on 17 April 2020.

Here’s the abstract for the tutorial:

This tutorial will introduce the R programming environment for statistical analysis. Contrary to SPSS which is procedure-oriented (commands are verbs, e.g. “compute”), R is object-oriented (objects are nouns, e.g. “factor”). In this workshop, we will try to ease the learning curve of using R for your data analysis. Experience with statistical software is NOT required! We will use data simulation as well as real data sets, to explore topics like t-tests, \(\chi^2\) tests, and regression. We will also show how R produces publication-quality figures.

This document is licensed under the GNU GPL 3 license (for details see https://www.gnu.org/licenses/gpl-3.0.en.html). It was created with the bookdown package (Xie 2021) in Rstudio.

Hugo Quené, Utrecht institute of Linguistics OTS, Utrecht University

https://www.hugoquene.nl

Versions

2022.03.15: minor security issues fixed (packages updated, crossref chapter labels fixed, then recompiled entire book)

References

Xie, Yihui. 2021. Bookdown: Authoring Books and Technical Documents with r Markdown. https://CRAN.R-project.org/package=bookdown.