Everyone writing reports and articles with LaTeX has probably used BibTeX before. BibTeX is the de facto standard for reference management and grounds its functionality on a list of references stored in local text file. Depending on the reference type, several fields are necessary to define a reference properly. An exemplary BibTeX entry looks as follows:
@Article{Binmore2008,
Title = {Do Conventions Need to Be Common Knowledge?},
Author = {Binmore, Ken},
Journal = {Topoi},
Year = {2008},
Number = {1},
Pages = {17--27},
Volume = {27}
}
The BibTeX format is not convenient for any kind of analysis or visualization. Many R applications require a data.frame
(or tibble
) and bib2df
offers a straightforward framework to parse a BibTeX file to a tibble
.
library(bib2df)
path <- system.file("extdata", "biblio.bib", package = "bib2df")
bib <- bib2df(path)
bib
#> # A tibble: 3 x 26
#> CATEGORY BIBTEXKEY ADDRESS ANNOTE AUTHOR
#> <chr> <chr> <chr> <chr> <list>
#> 1 ARTICLE Binmore2008 <NA> <NA> <chr [1]>
#> 2 BOOK Osborne1994 <NA> <NA> <chr [2]>
#> 3 INCOLLECTION BrandenburgerDekel1989 New York <NA> <chr [2]>
#> # ... with 21 more variables: BOOKTITLE <chr>, CHAPTER <chr>,
#> # CROSSREF <chr>, EDITION <chr>, EDITOR <list>, HOWPUBLISHED <chr>,
#> # INSTITUTION <chr>, JOURNAL <chr>, KEY <chr>, MONTH <chr>, NOTE <chr>,
#> # NUMBER <chr>, ORGANIZATION <chr>, PAGES <chr>, PUBLISHER <chr>,
#> # SCHOOL <chr>, SERIES <chr>, TITLE <chr>, TYPE <chr>, VOLUME <chr>,
#> # YEAR <dbl>
The df2bib()
function makes it possible to write this tibble
back to disk, enabling programmatic manipulation of a .bib file.
The latest version of bib2df
can be installed from GitHub using devtools::install_github()
:
devtools::install_github("ottlngr/bib2df")
Version 1.0.0 is now available on CRAN:
install.packages("bib2df")
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.