This repository contains the data and code for our paper:
Sparks, A.H., Del Ponte, E.M., Everhart, S., 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 20 May 2019. Online at https://doi.org/xxx/xxx
Please cite this compendium as:
Sparks, A.H., Del Ponte, E.M., Everhart, S., Foster, Z.S.L., Grünwald, N. (2019). Compendium of R code and data for ‘Status and Best Practices for Reproducible Research In Plant Pathology’. Accessed 20 May 2019. Online at https://doi.org/10.5281/zenodo.1250665
This repository is organized as an R package. There is one R function,
doi2bib(), that is used in this repository, along with a bibliography
file of the articles that were examined 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.
Code: MIT year: 2019, copyright holder: Adam H Sparks
Data: CC-0 attribution requested in reuse
Code : See the DESCRIPTION file
Data : CC-0 attribution requested in reuse
Adam H Sparks, Associate Professor, Centre for Crop Health
University of Southern Queensland
Toowoomba, Queensland 4350
+61 (7) 4831 1948 [email protected]