Reproducibility in Plant Pathology

This repository contains the data and code for our paper:

Sparks, A.H., Del Ponte, E.M., dos Santos Alves, K., Foster, Z., Grünwald, N. (YYYY). Title of paper. Name of journal/book https://doi.org/xxx/xxx

Our pre-print is online here:

Authors, (YYYY). Title of paper. Name of journal/book, Accessed 17 Jul 2020. Online at https://doi.org/xxx/xxx

How to cite

Please cite this compendium as:

Sparks, A.H., Del Ponte, E.M., dos Santos Alves, K., Foster, Z., Grünwald, N. (2020). Compendium of R code and data for ‘Status and Best Practices for Reproducible Research In Plant Pathology’. Accessed 17 Jul 2020. Online at https://doi.org/10.5281/zenodo.1250665

How to download or install

The R package

This repository is organized as an R package. There are custom R functions, table_of_journals() and workflow_dia() that are used in this repository, along with a bibliography file of the articles that were examined and the notes that are located in inst/extdata directory. We have used the R package structure to help manage dependencies, to take advantage of continuous integration for automated code testing and for file organisation.

You can download the compendium as a zip from from this URL: https://github.com/openplantpathology/Reproducibility_in_Plant_Pathology/archive/master.zip

Or you can install this compendium as an R package, Reproducibility.in.Plant.Pathology, from GitHub with:

if (!require("remotes"))
  install.packages("remotes")
remotes::install_github("openplantpathology/Reproducibility_in_Plant_Pathology"
)

Once the download is complete, open the Reproducibility_in_Plant_Pathology.Rproj in RStudio to begin working with the package and compendium files.

dafealos/Reproducibility_in_Plant_Pathology

Reproducibility in Plant Pathology

How to cite

How to download or install

The R package

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