最近我似乎和合作者分享了很多代码。他们中的许多人是新手/中级R用户,并没有意识到他们必须安装他们还没有的包。

是否有一种优雅的方式来调用installed.packages(),比较那些我正在加载和安装如果丢失?


当前回答

  packages_installed <- function(pkg_list){
        pkgs <- unlist(pkg_list)
        req <- unlist(lapply(pkgs, require, character.only = TRUE))
        not_installed <- pkgs[req == FALSE]
        lapply(not_installed, install.packages, 
               repos = "http://cran.r-project.org")# add lib.loc if needed
        lapply(pkgs, library, character.only = TRUE)
}

其他回答

pckg=c("shiny","ggplot2","dplyr","leaflet","lubridate","RColorBrewer","plotly","DT","shinythemes")

for(i in 1:length(pckg)) 
   {
      print(pckg[i])
      if (!is.element(pckg[i], installed.packages()[,1]))
      install.packages(pckg[i], dep = TRUE)
      require(pckg[i], character.only = TRUE)
}

是的。如果您有软件包列表,请将其与installed.packages()[,"Package"]的输出进行比较,然后安装缺少的软件包。就像这样:

list.of.packages <- c("ggplot2", "Rcpp")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)

否则:

如果您将代码放在包中并使它们成为依赖项,那么当您安装包时,它们将自动安装。

  packages_installed <- function(pkg_list){
        pkgs <- unlist(pkg_list)
        req <- unlist(lapply(pkgs, require, character.only = TRUE))
        not_installed <- pkgs[req == FALSE]
        lapply(not_installed, install.packages, 
               repos = "http://cran.r-project.org")# add lib.loc if needed
        lapply(pkgs, library, character.only = TRUE)
}

我使用以下函数安装包,如果require("<包>")退出包未发现错误。它将查询- CRAN和Bioconductor存储库,以查找丢失的包。

改编自约书亚·威利的原著, http://r.789695.n4.nabble.com/Install-package-automatically-if-not-there-td2267532.html

install.packages.auto <- function(x) { 
  x <- as.character(substitute(x)) 
  if(isTRUE(x %in% .packages(all.available=TRUE))) { 
    eval(parse(text = sprintf("require(\"%s\")", x)))
  } else { 
    #update.packages(ask= FALSE) #update installed packages.
    eval(parse(text = sprintf("install.packages(\"%s\", dependencies = TRUE)", x)))
  }
  if(isTRUE(x %in% .packages(all.available=TRUE))) { 
    eval(parse(text = sprintf("require(\"%s\")", x)))
  } else {
    source("http://bioconductor.org/biocLite.R")
    #biocLite(character(), ask=FALSE) #update installed packages.
    eval(parse(text = sprintf("biocLite(\"%s\")", x)))
    eval(parse(text = sprintf("require(\"%s\")", x)))
  }
}

例子:

install.packages.auto(qvalue) # from bioconductor
install.packages.auto(rNMF) # from CRAN

注:更新。packages(ask =FALSE) & biocLite(character(), ask=FALSE)将更新系统上所有已安装的软件包。这可能需要很长时间,并将其视为一个完整的R升级,这可能并不总是有保障的!

 48 lapply_install_and_load <- function (package1, ...)
 49 {
 50     #
 51     # convert arguments to vector
 52     #
 53     packages <- c(package1, ...)
 54     #
 55     # check if loaded and installed
 56     #
 57     loaded        <- packages %in% (.packages())
 58     names(loaded) <- packages
 59     #
 60     installed        <- packages %in% rownames(installed.packages())
 61     names(installed) <- packages
 62     #
 63     # start loop to determine if each package is installed
 64     #
 65     load_it <- function (p, loaded, installed)
 66     {
 67         if (loaded[p])
 68         {
 69             print(paste(p, "loaded"))
 70         }
 71         else
 72         {
 73             print(paste(p, "not loaded"))
 74             if (installed[p])
 75             {
 76                 print(paste(p, "installed"))
 77                 do.call("library", list(p))
 78             }
 79             else
 80             {
 81                 print(paste(p, "not installed"))
 82                 install.packages(p)
 83                 do.call("library", list(p))
 84             }
 85         }
 86     }
 87     #
 88     lapply(packages, load_it, loaded, installed)
 89 }