将 Bibtex 类对象转换为为每个引用格式化的一系列文本字符串

Question

我是 bibTex 对象的新手，想为对象中的每个引用生成一个文本字符串列表作为格式化引用。我不想生成文档——这些字符串将用于 R 中的下游用途。有没有办法做到这一点？我什至无法真正弄清楚如何访问 bibTex 对象中每个引用的片段。

换一种说法，我该怎么转：

   temp <- toBibtex(c(citation("base"), citation("sp")))

进入这个：

  [[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/."

帮助？

Answer 1

使用bib2df包：

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"

注意：我也是 bibtex 的新手。还有 RefManageR 包，可能更有用。

---

使用RefManageR：

library(RefManageR)

# read bib file
x1 <- ReadBib("temp.bib")
# or convert citations to bibentry object
x2 <- as.BibEntry(c(citation("base"), citation("sp")))

两者都将打印如下：

# [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/>.

Answer 2

我认为您可以应用以下代码：

pkgs <- c("base", "sp")
lapply(pkgs, function(x) citation(x)$textVersion)
#> [[1]]
#> [1] "R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/."
#> 
#> [[2]]
#> [[2]][[1]]
#> [1] "Pebesma, E.J., R.S. Bivand, 2005. Classes and methods for spatial data in R. R News 5 (2), https://cran.r-project.org/doc/Rnews/."
#> 
#> [[2]][[2]]
#> [1] "Roger S. Bivand, Edzer Pebesma, Virgilio Gomez-Rubio, 2013. Applied spatial data analysis with R, Second edition. Springer, NY. https://asdar-book.org/"

或者，如果您需要为列表的每个元素精确提供 1 个引用，我认为您可以运行：

as.list(unlist(lapply(pkgs, function(x) citation(x)$textVersion)))
#> [[1]]
#> [1] "R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL 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 (2), https://cran.r-project.org/doc/Rnews/."
#> 
#> [[3]]
#> [1] "Roger S. Bivand, Edzer Pebesma, Virgilio Gomez-Rubio, 2013. Applied spatial data analysis with R, Second edition. Springer, NY. https://asdar-book.org/"

^{由reprex package (v0.3.0) 于 2020 年 9 月 30 日创建}