我想贡献一下我用的:

testin <- function(package){if (!package %in% installed.packages())    
install.packages(package)}
testin("packagename")

这就是rbundler包的目的:提供一种方法来控制为特定项目安装的包。现在，这个包使用devtools功能将包安装到项目的目录中。该功能类似于Ruby的捆绑器。

如果你的项目是一个包(推荐)，那么你所要做的就是加载rbundler并捆绑包。bundle函数将查看包的DESCRIPTION文件，以确定要捆绑哪些包。

library(rbundler)
bundle('.', repos="http://cran.us.r-project.org")

现在这些包将安装在. rbundle目录中。

如果你的项目不是一个包，那么你可以在项目的根目录中创建一个DESCRIPTION文件，其中包含一个Depends字段，列出你想要安装的包(包括可选的版本信息):

Depends: ggplot2 (>= 0.9.2), arm, glmnet

如果你对这个项目感兴趣，这里是github回购:rbundler。

我使用以下将检查包是否安装和依赖项是否更新，然后加载包。

p<-c('ggplot2','Rcpp')
install_package<-function(pack)
{if(!(pack %in% row.names(installed.packages())))
{
  update.packages(ask=F)
  install.packages(pack,dependencies=T)
}
 require(pack,character.only=TRUE)
}
for(pack in p) {install_package(pack)}

completeFun <- function(data, desiredCols) {
  completeVec <- complete.cases(data[, desiredCols])
  return(data[completeVec, ])
}

使用packrat使共享库完全相同，而不会改变其他环境。

就优雅和最佳实践而言，我认为你从根本上走错了方向。打包程序就是为这些问题而设计的。它是由RStudio由Hadley Wickham开发的。packrat使用自己的目录，将您的程序的所有依赖项安装在其中，而不涉及别人的环境，这样他们就不必安装依赖项并可能弄乱别人的环境系统。

Packrat is a dependency management system for R. R package dependencies can be frustrating. Have you ever had to use trial-and-error to figure out what R packages you need to install to make someone else’s code work–and then been left with those packages globally installed forever, because now you’re not sure whether you need them? Have you ever updated a package to get code in one of your projects to work, only to find that the updated package makes code in another project stop working? We built packrat to solve these problems. Use packrat to make your R projects more: Isolated: Installing a new or updated package for one project won’t break your other projects, and vice versa. That’s because packrat gives each project its own private package library. Portable: Easily transport your projects from one computer to another, even across different platforms. Packrat makes it easy to install the packages your project depends on. Reproducible: Packrat records the exact package versions you depend on, and ensures those exact versions are the ones that get installed wherever you go.

https://rstudio.github.io/packrat/

我已经实现了无声安装和加载所需R包的功能。希望也许会有所帮助。代码如下:

# Function to Install and Load R Packages
Install_And_Load <- function(Required_Packages)
{
    Remaining_Packages <- Required_Packages[!(Required_Packages %in% installed.packages()[,"Package"])];

    if(length(Remaining_Packages)) 
    {
        install.packages(Remaining_Packages);
    }
    for(package_name in Required_Packages)
    {
        library(package_name,character.only=TRUE,quietly=TRUE);
    }
}

# Specify the list of required packages to be installed and load    
Required_Packages=c("ggplot2", "Rcpp");

# Call the Function
Install_And_Load(Required_Packages);

使用lapply族和匿名函数方法，您可以:

尝试附加所有列出的包。 仅安装缺失(使用||惰性计算)。 尝试再次连接那些在第1步中丢失并在第2步中安装的组件。 打印每个包的最终加载状态(TRUE / FALSE)。 Req <- substitute(require(x, character。only = TRUE)) LBS <- c("plyr"， "psych"， "tm") Sapply (lbs, function(x) eval(req) || {install.packages(x);eval(点播)}) 心理学 真真真真