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This is part 4 of the Rchon statistics course. It continues the basics of statistical testing in R. In this tutorial, we will treat the following statistical testing methods: Mann-Whitney test Kruskal-Wallis test Kolmogorov-Smirnov test Follow the instructions in Instructions Tutorial 4.pdf to start the tutorial. 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 two 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: Verhagen, P. & B.P. Bartholdy, 2022. "Rchon statistics course, part 3". Amsterdam, ARCHON Research School of Archaeology. https://doi.org/10.5281/zenodo.7458108

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. Follow the instructions in Instructions Tutorial 2.pdf to start the tutorial. 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: Verhagen, P. & B.P. Bartholdy, 2021. Rchon statistics course, part 2. Amsterdam, ARCHON Research School of Archaeology. doi: 10.5281/zenodo.5155471

This introduction was developed as part of a series on information visualisation for the humanities developed for the KU Leuven Faculty of Arts. The series was authored by Houda Lamqaddam, under the supervision of Prof. dr. Margherita Fantoli. Find more on the work done in DH by the KU Leuven Faculty of Arts on the following page: https://www.arts.kuleuven.be/digitalhumanities/english.

Slide delle lezioni del "Laboratorio di Informatica Umanistica" tenuto nell'AA 2020-2021 all'Università Cattolica del Sacro Cuore, corso di laurea in Lettere.

Natural Language Processing (NLP) is an interdisciplinary field whose goal is to create machines that understand natural languages. The lesson features: (i) an introduction to the key concepts and techniques of NLP; (ii) hands-on activities on some NLP tasks, such as lemmatization, part-of-speech tagging and named entity recognition using CLARIN-ERIC tools. The use case covered by the hands-on activities is particularly suited for trainees in the field of Digital Humanities given that the text is taken from a corpus of historical travel writings.

Lehreinheit auf der Summer School Coding the Sources – Digitales Edieren in den Geisteswissenschaften (Online Summerschool und Workshop, Lübeck/Online, 17.8. – 27.8.2020), 27.8.2020

Lien vers la leçon : https://uncoded.gitlab.io/BDD/ Lien vers le dépôt git de la leçon : https://gitlab.com/uncoded/BDD/ Course URL: https://uncoded.gitlab.io/BDD/ Course repository URL : https://gitlab.com/uncoded/BDD/

Slides used in the course Quantitative Methods in Archaeology. The slides accompanied the practical portion of course, which focused on teaching introductory statistics in R to MSc students at the Faculty of Archaeology, Leiden University. The data files required to follow along can be found here: https://doi.org/10.5281/zenodo.7534850 The GitHub repo and HTML versions of the slides can be found here: https://github.com/bbartholdy/quantarch-2022-slides The files contain the following presentations: lab-lecture_1.pdf - Introduction to R: Part 1 lab-lecture_2.pdf - Introduction to R: Part 2 lab-lecture_3.pdf - Data Wrangling in R lab-lecture_4.pdf - Data Visualisation with ggplot2 lab-lecture_5.pdf - Hypothesis Testing lab-lecture_6.pdf - Skeletons of Guildhall Yard (statistical case-study)

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. Follow the instructions in Instructions Tutorial 1.pdf to start the tutorial. 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: Verhagen, P. & B.P. Bartholdy, 2020. Rchon statistics course, part 1. Amsterdam, ARCHON Research School of Archaeology. doi: 10.5281/zenodo.4094686