如何从CRAN中提取所有包作者的名称

To celebrate the 100,000th question in the r tag, I'd like to create a list of the names of all package authors on CRAN.

为了庆祝r标签中的第100,000个问题，我想创建一个CRAN上所有包作者名称的列表。

Initially, I thought I could do this using available.packages() but sadly this doesn't contain a column of the authors.

最初，我认为我可以使用available.packages（）来做到这一点，但遗憾的是，这不包含作者的专栏。

pdb <- available.packages()
colnames(pdb)

 [1] "Package"               "Version"               "Priority"             
 [4] "Depends"               "Imports"               "LinkingTo"            
 [7] "Suggests"              "Enhances"              "License"              
[10] "License_is_FOSS"       "License_restricts_use" "OS_type"              
[13] "Archs"                 "MD5sum"                "NeedsCompilation"     
[16] "File"                  "Repository"

This information is available in the DESCRIPTION file for each package. So I can think of two brute force ways, neither of which are very elegant:

每个包的DESCRIPTION文件中都提供了此信息。所以我可以想到两种蛮力方式，两者都不是很优雅：

Download each of the 6,878 packages and read the DESCRIPTION file using base::read.dcf()

下载6,878个软件包，并使用base :: read.dcf（）读取DESCRIPTION文件
Scrape each of the package pages on CRAN. For example, https://cran.r-project.org/web/packages/MASS/index.html tells me that Brian Ripley is the author of MASS.

在CRAN上刮取每个包页面。例如，https：//cran.r-project.org/web/packages/MASS/index.html告诉我Brian Ripley是MASS的作者。

I don't want to download all of CRAN to answer this question. And I don't want to scrape the HTML either, since the information in the DESCRIPTION file is a neatly formatted list of person objects (see ?person).

我不想下载所有CRAN来回答这个问题。而且我也不想刮HTML，因为DESCRIPTION文件中的信息是一个整齐格式的人物对象列表（参见？person）。

How can I use the information on CRAN to easily build a list of package authors?

如何使用CRAN上的信息轻松构建包作者列表？

2 个解决方案

#1

Taken from reverse_dependencies_with_maintainers, which was available at one point on the R developer site (I don't see it there now):

取自reverse_dependencies_with_maintainers，它在R开发者网站上的某个点可用（我现在看不到它）：

  description <- sprintf("%s/web/packages/packages.rds",
                          getOption("repos")["CRAN"])
  con <- if(substring(description, 1L, 7L) == "file://") {
       file(description, "rb")
  } else {
      url(description, "rb")
  }
  db <- as.data.frame(readRDS(gzcon(con)),stringsAsFactors=FALSE)
  close(con)
  rownames(db) <- NULL

  head(db$Author)
  head(db$"Authors@R")

Where Authors@R exists it might be parseable into something better using dget()

作者@R存在的地方，使用dget（）可以更好地解析它

getAuthor <- function(x){
  if(is.na(x)) return(NA)
  a <- textConnection(x)
  on.exit(close(a))
  dget(a)
}
authors <- lapply(db$"Authors@R", getAuthor)
head(authors)

[[1]]
[1] NA

[[2]]
[1] "Gaurav Sood <gsood07@gmail.com> [aut, cre]"

[[3]]
[1] "Csillery Katalin <kati.csillery@gmail.com> [aut]"
[2] "Lemaire Louisiane [aut]"                         
[3] "Francois Olivier [aut]"                          
[4] "Blum Michael <michael.blum@imag.fr> [aut, cre]"  

[[4]]
[1] NA

[[5]]
[1] "Csillery Katalin <kati.csillery@gmail.com> [aut]"
[2] "Lemaire Louisiane [aut]"                         
[3] "Francois Olivier [aut]"                          
[4] "Blum Michael <michael.blum@imag.fr> [aut, cre]"  

[[6]]
[1] NA

#2

Why not use Gabor's API for CRAN packages?

为什么不将Gabor的API用于CRAN包？

e.g. http://crandb.r-pkg.org/MASS

例如http://crandb.r-pkg.org/MASS

library("httr")
content(GET("http://crandb.r-pkg.org/MASS"))$Author
[1] "Brian Ripley [aut, cre, cph],\nBill Venables [ctb],\nDouglas M. Bates [ctb],\nKurt Hornik [trl] (partial port ca 1998),\nAlbrecht Gebhardt [trl] (partial port ca 1998),\nDavid Firth [ctb]"

#1