this repo was created for the purpose of a seminar entitled how to make open science lead at the Mycorrhizal Symbioses Department at the Botanical Institute of the Czech Academy of Science, the 18th of February 2026.
the aim of the repo is to provide explanations and a "manual" how to use GitHub, Git and RStudio, provide reusable lines of code to use in RStudio and create a space for further questions/answers and additional tips and tricks that have not been mentioned in the seminar.
├── before the workshop....pdf ├── data │ ├── clean_data │ │ └── subset_1.csv │ ├── raw_data │ │ ├── data_henry.csv │ │ ├── data_Henry.xlsx │ │ └── raw_data_1.csv │ └── temp_data ├── mykosym.Rproj ├── outputs │ ├── figures │ │ └── plot1.pdf │ ├── tables │ └── writing ├── presentation.pdf ├── README.qmd ├── rules of good practice using RStudio.pdf └── r_scripts ├── analyses_henry.R └── practice_script.R
- rscripts contains a script with lines of code to load a .csv table to RStudio, create a .csv table out of a R data.frame and store a simple plot to a .pdf
- raw_data contains an invented .csv table used as an example in the script
- clean_data contains the "cleaned up" version of the invented .csv table
- figures contains the generated .pdf
- before the workshop... contains links to download RStudio, Git and create an account on GitHub as well as a manual on how to configure Git so it can link RStudio with GitHub
- presentation contains the presentation from the seminar
- rules of good practice using RStudio contains additional tips and tricks on how to properly work with RStudio
- summary of the seminar contains a summary of what was explained in the seminar, as well as some additional tips and tricks