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我最近使用程序包来更新我的 R 版本(从 3.6.2 到 4.0.0)。更新成功,我已确认使用print(R.version). 但是,尽管我严格按照这些步骤操作,但我的旧版本 R 的包还没有复制到新版本。我也尝试过运行copy.packages.between.libraries(ask = T)将包复制过来。No packages to copy. Goodbye :)尽管我无法加载以前安装在旧版本上的任何软件包,但两次都返回了。

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2 回答 2

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这是因为从 R 3.6.x 更新到 4.x 需要您重新安装所有软件包(请参阅新闻)。

我发现这样做的最好方法是:

  1. 获取您的旧包裹
    old_packages <- installed.packages(lib.loc = "/home/johannes/R/x86_64-pc-linux-gnu-library/3.6/")
    

当然,您必须将路径更改为您的包所在的路径。只需使用.libPaths(),如果您已经安装了新的 R 版本,请将其替换4.03.6.

  1. 根据已安装的软件包检查旧的:

    new_packages <- installed.packages()
    missing_df <- as.data.frame(old_packages[
      !old_packages[, "Package"] %in% new_packages[, "Package"], 
      ])
    
  2. 安装缺少的软件包(使用多个内核来提高速度)

    install.packages(missing_df$Package, Ncpus = 3)

我前段时间在我的博客上写了这篇文章但这些是必不可少的步骤,你应该很高兴。

于 2021-03-26T13:22:52.823 回答
2

如果您查看源代码copy.packages.between.libraries(只需F2在鼠标指针位于函数名称上时键入),您会发现以下命令:

library(installr)

(installed_R_folders <- get.installed.R.folders())
#>                   4.0.3                   4.0.2 
#> "C:/PROGRA~1/R/R-4.0.3" "C:/PROGRA~1/R/R-4.0.2"
(installed_R_folders_TABLE <- data.frame(R_version = names(installed_R_folders), 
                                        Folder = installed_R_folders))
#>       R_version                Folder
#> 4.0.3     4.0.3 C:/PROGRA~1/R/R-4.0.3
#> 4.0.2     4.0.2 C:/PROGRA~1/R/R-4.0.2
(from <- installed_R_folders[2])
#>                   4.0.2 
#> "C:/PROGRA~1/R/R-4.0.2"
(to <- installed_R_folders[1])
#>                   4.0.3 
#> "C:/PROGRA~1/R/R-4.0.3"
(from_library <- file.path(from, "library"))
#> [1] "C:/PROGRA~1/R/R-4.0.2/library"
(to_library <- file.path(to, "library"))
#> [1] "C:/PROGRA~1/R/R-4.0.3/library"
(packages_in_the_from_library <- list.files(from_library))
#>  [1] "base"         "boot"         "class"        "cluster"      "codetools"   
#>  [6] "compiler"     "datasets"     "foreign"      "graphics"     "grDevices"   
#> [11] "grid"         "KernSmooth"   "lattice"      "MASS"         "Matrix"      
#> [16] "methods"      "mgcv"         "nlme"         "nnet"         "parallel"    
#> [21] "rpart"        "spatial"      "splines"      "stats"        "stats4"      
#> [26] "survival"     "tcltk"        "tools"        "translations" "utils"
(packages_in_the_to_library <- list.files(to_library))
#>  [1] "base"         "boot"         "class"        "cluster"      "codetools"   
#>  [6] "compiler"     "datasets"     "foreign"      "graphics"     "grDevices"   
#> [11] "grid"         "KernSmooth"   "lattice"      "MASS"         "Matrix"      
#> [16] "methods"      "mgcv"         "nlme"         "nnet"         "parallel"    
#> [21] "rpart"        "spatial"      "splines"      "stats"        "stats4"      
#> [26] "survival"     "tcltk"        "tools"        "translations" "utils"
(packages_to_NOT_move <- unname(installed.packages(priority = "high")[,"Package"]))
#>  [1] "codetools"  "base"       "boot"       "class"      "cluster"   
#>  [6] "codetools"  "compiler"   "datasets"   "foreign"    "graphics"  
#> [11] "grDevices"  "grid"       "KernSmooth" "lattice"    "MASS"      
#> [16] "Matrix"     "methods"    "mgcv"       "nlme"       "nnet"      
#> [21] "parallel"   "rpart"      "spatial"    "splines"    "stats"     
#> [26] "stats4"     "survival"   "tcltk"      "tools"      "utils"
(packages_to_NOT_move <- c(packages_to_NOT_move, packages_in_the_to_library))
#>  [1] "codetools"    "base"         "boot"         "class"        "cluster"     
#>  [6] "codetools"    "compiler"     "datasets"     "foreign"      "graphics"    
#> [11] "grDevices"    "grid"         "KernSmooth"   "lattice"      "MASS"        
#> [16] "Matrix"       "methods"      "mgcv"         "nlme"         "nnet"        
#> [21] "parallel"     "rpart"        "spatial"      "splines"      "stats"       
#> [26] "stats4"       "survival"     "tcltk"        "tools"        "utils"       
#> [31] "base"         "boot"         "class"        "cluster"      "codetools"   
#> [36] "compiler"     "datasets"     "foreign"      "graphics"     "grDevices"   
#> [41] "grid"         "KernSmooth"   "lattice"      "MASS"         "Matrix"      
#> [46] "methods"      "mgcv"         "nlme"         "nnet"         "parallel"    
#> [51] "rpart"        "spatial"      "splines"      "stats"        "stats4"      
#> [56] "survival"     "tcltk"        "tools"        "translations" "utils"
(ss_packages_to_NOT_move_from <- packages_in_the_from_library %in% 
  packages_to_NOT_move)
#>  [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [16] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
(ss_packages_to_YES_move_from <- !ss_packages_to_NOT_move_from)
#>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [25] FALSE FALSE FALSE FALSE FALSE FALSE
(packages_to_YES_move_from <- packages_in_the_from_library[ss_packages_to_YES_move_from])
#> character(0)

得出的结论是,不同 R 安装的软件包之间没有区别,并导致:

没有要复制的包。再见 :)

但是,如果您查看.libPaths(),您会发现get.installed.R.folders缺少您在自己用户的库中安装的软件包:

.libPaths()
[1] "C:/Users/User/Documents/R/win-library/4.0"
[2] "C:/Program Files/R/R-4.0.3/library"

因此,默认行为installr是缺少您在 R 安装后安装的所有软件包:

packages <- as.data.frame(utils::installed.packages())
head(packages[is.na(packages$Priority),c("Package","LibPath")])

arrow                               arrow C:/Users/User/Documents/R/win-library/4.0
arules                             arules C:/Users/User/Documents/R/win-library/4.0
arulesViz                       arulesViz C:/User/User/Documents/R/win-library/4.0
ash                                   ash C:/Users/User/Documents/R/win-library/4.0
askpass                           askpass C:/Users/User/Documents/R/win-library/4.0
assertive                       assertive C:/Users/User/Documents/R/win-library/4.0
...
于 2021-03-27T00:24:43.360 回答