ONLINE COURSE – Reproducible and collaborative data analysis with R (RACR03) This course will be delivered live
https://www.prstatistics.com/course/reproducible-and-collaborative-data-analysis-with-r-racr03/ <https://www.prstatistics.com/course/reproducible-and-collaborative-data-analysis-with-r-racr01/> 8th -10th and 15th - 17th August - Delivered over 6 half days from 17:00-20:00 CET (Central European Time) Please feel free to share! ABOUT THIS COURSE The computational part of a research is considered reproducible when other scientists (including ourselves in the future) can obtain identical results using the same code, data, workflow and software. Research results are often based on complex statistical analyses which make use of various software. In this context, it becomes rather difficult to guarantee the reproducibility of the research, which is increasingly considered a requirement to assess the validity of scientific claims. Moreover, reproducibility is not only important for findings published in academic journals. It also becomes relevant for sharing analyses within a team, with external collaborators and with one’s supervisor. During this course, the participants will be introduced to a suite of tools they can use in combination with R to make reproducible the computational part of their own research. A strong emphasis is given to collaboration, and participants will learn how to set up a project to work with other people in an efficient way. At the start off the course, participants learn about the most important aspects that make research reproducible, which go beyond simply sharing R code. This includes problems arising from the use of different packages versions, R versions, and operating systems. The concept of research compendium is introduced and proposed as general framework to organise any research project. The course then moves on to version control with Git and GitHub which are fundamental tools for keeping track of code changes and for collaborating with other people on the same project. We will cover both, basic and more advanced features, like tagging, branching, and merging. Towards the end of the course the participants are introduced to literate programming using Quarto (the new scientific and publishing system recently released by RStudio) with the focus on writing a scientific article or report. The aim is to bind the outputs of the R analysis (i.e. results, tables, and figures) together with the text of the article. Participants will also learn how to use templates to fulfil requirements of different journals. Email oliverhoo...@prstatistics.com -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
