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I’ve started to put together an R package called repmis. It has miscellaneous tools for reproducible research with R. The idea behind the package is to collate commands that simplify some of the common R code used within knitr-type reproducible research papers.
It’s still very much in the early stages of development and has two commands:
LoadandCite
: a command to load all of the R packages used in a paper and create a BibTeX file containing citation information for them. It can also install the packages if they are on CRAN.source_GitHubData
: a command for downloading plain-text formatted data stored on GitHub or at any other secure (https) URL.
I’ve written about why you might want to use source_GitHubData
before (see here and here).
You can use LoadandCite
in a code chunk near the beginning of a knitr reproducible research document to load all of the R packages you will use in the document and automatically generate a BibTeX file you can draw on to cite them. Here’s an example:
# Create vector of package names PackagesUsed <- c("knitr", "xtable") # Load and Cite repmis::LoadandCite(PackagesUsed, file = "PackageCitations.bib")
LoadandCite
draws on knitr’s write_bib
command to create the bibliographies, so each citation is given a BibTeX key like this: R-package_name. For example the key for the xtable package is R-xtable. Be careful to save the citations in a new .bib file, because LoadandCite
overwrites existing files.
Citation of R packages is very inconsistent in academic publications. Hopefully by making it easier to cite packages more people will do so.
Install/Constribute
Instructions for how to install repmis are available here.
Please feel free to fork the package and suggest additional commands that could be included.
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