I'm new to bibTex objects, and want to generate a list of text strings for each citation in the object as a formatted citation. I don't want to generate a document--these strings will be used for a downstream purpose within R. Is there a way to do this? I can't even really figure out how to access the pieces of each citation in a bibTex object.
Put another way, how to I turn this:
temp <- toBibtex(c(citation("base"), citation("sp")))
into this:
[[1]]
[1] "R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/."
[[2]]
[1] "Pebesma, E.J., R.S. Bivand (2005). Classes and methods for spatial data in R. R News 5. https://cran.r-project.org/doc/Rnews/."
[[3]]
[1] "Bivand, R.S., Pebesma, E.J., Gomez-Rubio, V. (2013). Applied spatial data analysis with R, Second edition. Springer, NY. https://asdar-book.org/."
Help?
Using bib2df package:
library(bibtex)
library(bib2df)
write.bib(c("base", "sp"), "temp.bib")
x <- bib2df("temp.bib")
apply(x, 1, function(i){
paste(
#adding authors and titles
paste(unlist(i$AUTHOR), collapse = ", "),
i$TITLE,
# add other bits here as needed
sep = ", ")
})
# [1] "R Core Team, R: A Language and Environment for Statistical Computing"
# [2] "Edzer J. Pebesma, Roger S. Bivand, Classes and methods for spatial data in {R"
# [3] "Roger S. Bivand, Edzer Pebesma, Virgilio Gomez-Rubio, Applied spatial data analysis with {R}, Second edition"
Note: I am new to bibtex, too. There is also RefManageR package, might be more useful.
Using RefManageR:
library(RefManageR)
# read bib file
x1 <- ReadBib("temp.bib")
# or convert citations to bibentry object
x2 <- as.BibEntry(c(citation("base"), citation("sp")))
Both will print as below:
# [1] R. S. Bivand, E. Pebesma, and V. Gomez-Rubio. _Applied spatial data analysis with R, Second
# edition_. Springer, NY, 2013. <URL: https://asdar-book.org/>.
#
# [2] E. J. Pebesma and R. S. Bivand. “Classes and methods for spatial data in R”. In: _R News_ 5.2 (Nov.
# 2005), pp. 9-13. <URL: https://CRAN.R-project.org/doc/Rnews/>.
# [3] R Core Team. _R: A Language and Environment for Statistical Computing_. R Foundation for
# Statistical Computing. Vienna, Austria, 2019. <URL: https://www.R-project.org/>.
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