LatinR 2020
| title | author | length |
|---|---|---|
| How to Write Reproducible Manuscripts | Francisco Rodríguez-Sánchez | 24m |
Practical guidance for creating reproducible manuscripts, theses and reports using R-based tools: how to share data and code, use R Markdown for dynamic… | ||
| Why is computational reproducibility important? | Daniela Ballari | 17m |
Explains why computational reproducibility — rerunning the same code and data to obtain the same results — matters by citing an ecology survey showing ~73% of… | ||
| The journey of taxlist in ROpenSci | Miguel Alvarez | 06m |
An account of the review process for the R package taxlist during its submission to rOpenSci. It describes practical experiences, plus a couple of warnings and… | ||
| Reviewing packages for better science | Maëlle Salmon | 06m |
rOpenSci runs an open peer-review process for R packages that enforces concrete checks: valid licensing, automated tests with minimum coverage, function and… | ||
| Contributing to Free Software in R | Juan Cruz Rodríguez | 16m |
Defines free/libre code and explains how it relates to the R programming language, then walks through the complete process of making a contribution to an R… | ||
| Reproducibility Around a Web Application | Pablo Bernabeu | 25m |
How to build reproducible web apps in R using packages like shiny and flexdashboard, illustrated with a data-simulation app (GitHub link). It covers exporting… | ||
| nothing matches | ||