Published August 18, 2025 | Version v2
Lesson Open

Rchon statistics course, part 1

  • 1. Vrije Universiteit Amsterdam
  • 2. University of Leiden

Description

This is part 1 of the  Rchon statistics course. It treats the basics of data manipulation in R, and teaches you how to make simple visualisations from a list of numerical data. The purpose of this tutorial is to provide a relatively gentle introduction to R for working with archaeological datasets.

The original version was set up in RMarkdown. Follow the instructions in Instructions Tutorial 1.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 three 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, 2020. Rchon statistics course, part 1. Amsterdam, ARCHON Research School of Archaeology. doi: 10.5281/zenodo.4094686

How to cite the Jupyter Notebook version:

Verhagen, P. & B.P. Bartholdy, 2025. Rchon statistics course, part 1. Jupyter Notebook version. Amsterdam, ARCHON Research School of Archaeology. doi: 10.5281/zenodo.16894650

Files

Instructions Tutorial 1.pdf

Files (1.0 MB)

Name Size Download all
md5:f384ed90f9874197d36f46883f6c9918
766.4 kB Preview Download
md5:7c09be1612c4b634fc285b491af655a5
5.0 kB Preview Download
md5:2722aaf5dfa218e7586144dfe6345aee
165.9 kB Preview Download
md5:b57bb42f7b3142d0d8531489ee7cc667
29.0 kB Preview Download
md5:5150641589ccf1bdd66c562dd274f3bd
229 Bytes Preview Download
md5:bf2a5a79363e1417a350a439a09036d1
398 Bytes Preview Download
md5:0c9705f39e7f17b74c58c3b130bcde4f
470 Bytes Preview Download
md5:3872540fa7aebfaca2d25de507280def
4.8 kB Download
md5:1807c324982b9e30d012754a09859fd1
28.4 kB Download

Additional details

Dates

Created
2020-10-16
RMarkdown version
Updated
2025-08-18
Jupyter Notebook version added