ONLINE COURSE – Reproducible and collaborative data analysis with R (RACR03)
https://www.prstats.org/course/reproducible-and-collaborative-data-analysis-with-r- racr03/ This course consists of 6 x 3 hour sessions on the 28, 29, 30 August and 4, 5, 6 September 2024 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. Please email oliverhoo...@prstatistics.com with any questions Upcoming courses ONLINE COURSE – Using Google Earth Engine in Ecological Studies (GEEE01) This course will be delivered live <https://www.prstats.org/course/using-google-earth-engine-in-ecological-studies-geee01/> ONLINE COURSE – Reproducible and collaborative data analysis with R (RACR03) This course will be delivered live <https://www.prstats.org/course/reproducible-and-collaborative-data-analysis-with-r-racr03/> ONLINE COURSE – Multivariate Analysis Of Ecological Communities Using R With The VEGAN package (VGNR06) This course will be delivered live <https://www.prstats.org/course/multivariate-analysis-of-ecological-communities-using-r-with-the-vegan-package-vgnr06/> ONLINE COURSE – Hidden Markov Models for movement, acceleration and other ecological data – an introduction using moveHMM and momentuHMM in R (HMMM01) This course will be delivered live <https://www.prstats.org/course/hidden-markov-models-for-movement-acceleration-and-other-ecological-data-hmmm01/> ONLINE COURSE – Time Series Analysis and Forecasting using R and Rstudio (TSAF01) This course will be delivered live <https://www.prstats.org/course/time-series-analysis-and-forecasting-using-r-and-rstudio-tsaf01/> ONLINE COURSE – Remote sensing data analysis and coding in R for ecology (RSDA01) This course will be delivered live <https://www.prstats.org/course/remote-sensing-data-analysis-and-coding-in-r-for-ecology-rsda01/> ONLINE COURSE – Introduction to Metabarcoding and Metagenomics Analysis (IMAM01) This course will be delivered live <https://www.prstats.org/course/introduction-to-metabarcoding-and-metagenomics-analysis-imam01/> ONLINE COURSE – Bioacoustics Data Analysis using R and Studio (BIAC04) This course will be delivered live <https://www.prstats.org/course/bioacoustics-data-analysis-biac04/> ONLINE COURSE – Metabarcoding Pipelines for Eukariotic Communities (MPEC01) This course will be delivered live <https://www.prstats.org/course/metabarcoding-pipelines-for-eukariotic-communities-mpec01/> ONLINE COURSE – Genome Assembly and Annotation (GAAA01) This course will be delivered live <https://www.prstats.org/course/genome-assembly-and-annotation-gaaa01/> IN PERSON COURSE – Hierarchical modelling in ecology (HMIE01) (Université de Sherbrooke, Canada) <https://www.prstats.org/course/hierarchical-modelling-in-ecology-hmie01/> ONLINE COURSE – Introduction to Machine Learning using R and Rstudio (IMLR02) This course will be delivered live <https://www.prstats.org/course/introduction-to-machine-learning-using-r-and-rstudio-imlr02/> ONLINE COURSE – Introduction to Single Cell Analysis (ISCA01) This course will be delivered live <https://www.prstats.org/course/introduction-to-single-cell-analysis-isca01/> ONLINE COURSE – Species Distribution Modelling With Bayesian Statistics Using R (SDMB06) This course will be delivered live <https://www.prstats.org/course/online-course-species-distribution-modelling-with-bayesian-statistics-using-r-sdmb06/> -- Best wishes, Oliver Oliver Hooker PhD. 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