![]() ![]() ![]() You (PhDs and postdocs of Wageningen University) have a valid reason to cancel (illness or death in the family 1st or 2nd degree).In this case you will only be charged a € 50 cancellation fee. You can find someone to replace you in the course and supply the course coordinator with the name and contact information of your replacement.You may cancel free of charge up to four weeks before the start of the course. After this date you will be charged the University fee. University fee: All other PhD candidates / Wageningen University postdocs and staffįee includes study and training material, coffee/tea and lunches. Postdocs of Wageningen University who are registered at one of the WU graduate schools.PhD candidates of Wageningen University with an approved Training and Supervision Plan (TSP) who are registered at one of the WU graduate schools (EPS, PE&RC, VLAG, WASS, WIAS, WIMEK).Jos Hageman (Biometris) and Tiny van Boekel (FQD) In short, Quarto is yet another step forward in achieving Open Science, a tool every PhD student, postdoc and scientist should know about! Therefore, it only makes sense to participate in the course if you master R and RStudio to some extent (Python or Julia could also be used, but in the course it will be R). In fact, you can use Quarto in RStudio just as a word processor without any knowledge of R but its strength is, of course, the combination of text with data processing, statistical analysis, graphing and reporting. RStudio can be linked to version control systems like GIT and GITHub. In practice, it is most convenient to use Quarto in combination with RStudio, also freely available. ![]() Quarto can be combined with R, which runs on every computer platform. Multiple Quarto files (e.g., each file being a paper) can easily be combined to form a thesis. Workflows in Quarto can be considerably more efficient and therefore faster. This has the advantage that changes in a dataset are immediately processed in statistical models, graphs, reports and presentations. Data storage, analysis, visualization and presentation of results (in a paper or presentation) takes places in a single file. Quarto (previously RMarkdown) is a freely available software program that combines text, statistical analysis, and graphics into one file. This goes against the idea of open science. Commercial software programs may not be accessible to everyone and therefore results may never be reproducible. The results have become irreproducible and the scientific path has become obscured (even for yourself and your team). In the process of transferring data, graphs, results of statistical analysis from one software program to another, it is not unlikely that errors will be made and some of them will go unnoticed (see, for instance, this Nature article: d41583-z.pdf ()). What is communicated to the outside world eventually as a final product in the form of a thesis, paper or presentation is hard to unravel for an outsider, let alone to reproduce it. Finally, results are transferred to Word for writing a paper and/or PowerPoint for creating a presentation. They even use it for calculations and visualizations. Many PhD students and other researchers use tools like Excel, SPSS or similar software to collect & store data from their experiments. It is basically the old idea that scientific results should be reproducible by everyone and open to criticism. ![]() With Open Science decisions in experimental design, data collection, data processing, statistical analysis, and reporting should be transparent and reproducible for everybody. Open Science is the movement to make scientific research and data accessible to all. the VLAG course “Introduction to R” by Jos Hageman or the PE&RC course “Ïntroduction to R and R Studio”. The course will have many practical assignments. Some example data will be used but it will also be possible to work on your own data. In this two-day WGS course (formerly known as RMarkdown) you will be introduced to the basics of starting an R Project in Quarto: how to setup a decent file structure, how to import data and how to process them and how to export the results. ![]()
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