当使用“R CMD INSTALL”时如何安装依赖关系安装R包? [英] How to install dependencies when using "R CMD INSTALL" to install R packages?
问题描述
取决于:bar
当包 foo 准备进行测试时,我在本地安装:
R CMD INSTALL foo_1.0.tar.gz
但是,如果 bar 未安装,我看到:
错误:依赖关系bar不可用于包'foo'
显然,如果我使用安装从CRAN安装了我的 foo .packages(), bar 将同时安装。所以我的问题是:如果需要,当我使用R CMD INSTALL安装我的软件包 foo 时,如何安装CRAN软件包?这是配置脚本的工作吗?
实际上,重新阅读R扩展指南,并不是说R CMD INSTALL将获得CRAN的依赖关系。 R中的install.packages()方法将会做到这一点,但是乍一看,我不认为R CMD INSTALL是这样的。
可以使用install.packages从.tar.gz安装,但是您必须设置repos = NULL,然后适用:
依赖关系:逻辑指示还要安装这些软件包依赖于/ suggest / import的卸载软件包
(等等)
递归)。如果repos = NULL,则不使用。
我怀疑要做的是从DESCRIPTION文件中获取依赖项,然后运行R和当您在干净的环境中测试您的构建时,请对其进行一次install.packages()。
I'm developing my first R package (using R 2.13, Ubuntu 10.10). Let's call it foo and let's say that the code in the R/ directory begins with the line library(bar), where bar is an existing package, in CRAN, on which foo depends. My DESCRIPTION file contains the line:
Depends: bar
When package foo is ready for testing, I install it locally using:
R CMD INSTALL foo_1.0.tar.gz
However, if bar is not installed, I see:
ERROR: dependency ‘bar’ is not available for package ‘foo’
Obviously, if my foo were installed from CRAN using install.packages(), bar would be installed at the same time. So my question is: how can I ensure that CRAN package bar is installed, if required, when I install my package foo using R CMD INSTALL? Is this a job for a configuration script?
Actually, re-reading the R extensions guide, it doesn't say that R CMD INSTALL will get dependencies from CRAN. The install.packages() method from within R will do that, but at first glance I don't think R CMD INSTALL does.
You can use install.packages to install from a .tar.gz, but you have to set repos=NULL, and then this applies:
dependencies: logical indicating to also install uninstalled packages
on which these packages depend/suggest/import (and so on
recursively). Not used if repos = NULL.
I suspect the thing to do is to get the dependencies out of the DESCRIPTION file and then run R and do an install.packages() on those when you are testing your build in a clean environment.
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