olazlaure / analysisevolrescueexp

output
html_document keep_md true

Description

This research compendium describes how to analyze population size, extinction, life-history traits data from an evolutionary rescue experiment conducted in 2021. here.

Contents

The 📂 data directory contains the data sets used in the analyses.

The 📂 R directory contains the functions used in the analyses.

The 📂 man directory contains the documentation for the functions.

The 📂 reports directory contains the .Rmd files used to build each part of the analyses and produce the final figures. They also have rendered versions and html suitable for reading in a web browser.

Markdown versions

• 📋 Analysis_main_text : All the analyses that can be found in the main text.

• 📋 Analysis_supplementary : All the supplementary analyses for survival analysis.

HTML versions

• 📋 Analysis_main_text : All the analyses that can be found in the main text.

• 📋 Analysis_supplementary : All the supplementary analyses for survival analysis.

The 📂 figures directory contains the figures generated during the analyses.

The 🔨 dev_history.R file allow to rebuild our research compendium from scratch for maximum reproducibility.

How to run it ?

This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.

You can download the compendium by cloning this repository:

• open the .Rproj file in RStudio

• open scripts .Rmd in reports folder and run it to produce all the analyses and associated reports.

• launch the README.html to be able to explore the contents on your web browser