Rchon statistics course, part 2

This is part 2 of the  Rchon statistics course. The purpose of this tutorial is to extend the application of R from basic data analysis and visualisation to formal statistical testing. In this tutorial, we will treat the following statistical testing methods:

• t-test
• ANOVA

Further testing methods (including chi square test, Mann-Whitney and Kruskal-Wallis test) will be treated in part 3 and 4 of this course.

The original version was set up in RMarkdown. Follow the instructions in Instructions Tutorial 2.pdf to start this version of the tutorial. The current version has been extended with Jupyter Notebook files. These can be run in any environment suitable for Jupyter Notebooks.

This course was originally created for Archon Research School of Archaeology by Philip Verhagen (Vrije Universiteit Amsterdam) and Bjørn P. Bartholdy (University of Leiden), and consists of an instruction, a tutorial, a test and four datafiles. All content is CC BY-NC-SA: it can be freely distributed and modified under the condition of proper attribution and non-commercial use.

How to cite the RMarkdown version:

Verhagen, P. & B.P. Bartholdy, 2021. Rchon statistics course, part 2. Amsterdam, ARCHON Research School of Archaeology. doi: 10.5281/zenodo.5155471

How to cite the Jupyter Notebook version: