r - 如何创建仅包含数据集的 R 包？

Question

我正在寻找创建仅需要包含单个数据集的 R 包的最简单方法。

假设我的数据集(比如 dplyr 数据帧)被写入磁盘为 .rds (或住在当前 session 中)。有没有办法把它放入R无需安装即可打包 rtools和别的？这可以以编程方式完成吗？

这个想法是每次我运行其他代码时都会重新创建这个包。然后我可以将这个包数据集发送到其他程序。

再次感谢!

Answer 1

我写了一个纯数据包 - https://github.com/nfultz/ec2instances.info/blob/master/R/ec2instances.R

在 .onLoad 函数中，您可以随心所欲地加载数据，在我的例子中是通过查询网站。

或者，您可以只使用 package.skeleton制作一个空包。你应该编辑帮助文件，但我只是用 sed 代替:

> foo <- iris
> package.skeleton("irispkg", "foo")
Creating directories ...
Creating DESCRIPTION ...
Creating NAMESPACE ...
Creating Read-and-delete-me ...
Saving functions and data ...
Making help files ...
Done.
Further steps are described in './irispkg/Read-and-delete-me'.
> system("sed -i 's/^%%//' irispkg/man/foo.Rd")
> system("R CMD build irispkg")
* checking for file 'irispkg/DESCRIPTION' ... OK
* preparing 'irispkg':
* checking DESCRIPTION meta-information ... OK
* installing the package to process help pages
* saving partial Rd database
* checking for LF line-endings in source and make files and shell scripts
* checking for empty or unneeded directories
* looking to see if a 'data/datalist' file should be added
* building 'irispkg_1.0.tar.gz'

> install.packages("./irispkg_1.0.tar.gz", repos=NULL)
Installing package into '/home/neal/R/x86_64-pc-linux-gnu-library/3.4'
(as 'lib' is unspecified)
* installing *source* package 'irispkg' ...
** data
** help
Warning: /tmp/RtmpW8T900/Rbuild8c0136c3b349/irispkg/man/irispkg-package.Rd:27: All text must be in a section
Warning: /tmp/RtmpW8T900/Rbuild8c0136c3b349/irispkg/man/irispkg-package.Rd:28: All text must be in a section
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (irispkg)

检查它是否有效:

> require(irispkg)
Loading required package: irispkg
> data(foo)
> head(foo)
  Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1          5.1         3.5          1.4         0.2  setosa
2          4.9         3.0          1.4         0.2  setosa
3          4.7         3.2          1.3         0.2  setosa
4          4.6         3.1          1.5         0.2  setosa
5          5.0         3.6          1.4         0.2  setosa
6          5.4         3.9          1.7         0.4  setosa