How to install TIdyverse without internet connection for R 3.5.2

Hi all

I am working in an environment without internet access. Hence, I have transferred using thumb drive to my pc for installation. However, the following error popped out when i try to load TIdyverse after installation:

Error: package or namespace load failed for ‘tidyverse’ in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):

there is no package called ‘broom’

In addition: Warning message:

package ‘tidyverse’ was built under R version 3.6.1

Do anyone know how to resolve this? Thank you in advance.

PS: I can only use R 3.5.2

Hi, and welcome!

Packages, like tidyverse can depend on other packages. If those are not already installed, they are fetched from a CRAN repository and installed as part of the depending package installation.

The broom package is simply the first of many tidyverse dependencies

Imports: broom (>= 0.4.2), cli (>= 1.0.0), crayon (>= 1.3.4), dplyr (>=
0.7.4), dbplyr (>= 1.1.0), forcats (>= 0.2.0), ggplot2 (>=
2.2.1), haven (>= 1.1.0), hms (>= 0.3), httr (>= 1.3.1),
jsonlite (>= 1.5), lubridate (>= 1.7.1), magrittr (>= 1.5),
modelr (>= 0.1.1), purrr (>= 0.2.4), readr (>= 1.1.1), readxl
(>= 1.0.0), reprex (>= 0.1.1), rlang (>= 0.1.4), rstudioapi (>=
0.7), rvest (>= 0.3.2), stringr (>= 1.2.0), tibble (>= 1.3.4),
tidyr (>= 0.7.2), xml2 (>= 1.1.1)

A less hair pulling experience would be to use an online machine to download all your desired libraries to the default directory and then copy that via thumbdrive to your un-connected machine.

You'll need to get all the dependencies as @technocrat explained.

There are tools to help with that. For example, minicran :package:

First, It will help you easily identify package dependencies, but also help you create a local subset of CRAN with the packages you need.

#>  [1] "tidyverse"    "broom"        "cli"          "crayon"      
#>  [5] "dplyr"        "dbplyr"       "forcats"      "ggplot2"     
#>  [9] "haven"        "hms"          "httr"         "jsonlite"    
#> [13] "lubridate"    "magrittr"     "modelr"       "purrr"       
#> [17] "readr"        "readxl"       "reprex"       "rlang"       
#> [21] "rstudioapi"   "rvest"        "stringr"      "tibble"      
#> [25] "tidyr"        "xml2"         "backports"    "generics"    
#> [29] "nlme"         "reshape2"     "assertthat"   "DBI"         
#> [33] "glue"         "R6"           "tidyselect"   "pkgconfig"   
#> [37] "Rcpp"         "BH"           "plogr"        "ellipsis"    
#> [41] "digest"       "gtable"       "lazyeval"     "MASS"        
#> [45] "mgcv"         "scales"       "viridisLite"  "withr"       
#> [49] "vctrs"        "curl"         "mime"         "openssl"     
#> [53] "clipr"        "cellranger"   "progress"     "callr"       
#> [57] "fs"           "rmarkdown"    "whisker"      "selectr"     
#> [61] "stringi"      "fansi"        "pillar"       "lifecycle"   
#> [65] "processx"     "rematch"      "Matrix"       "lattice"     
#> [69] "askpass"      "utf8"         "prettyunits"  "plyr"        
#> [73] "knitr"        "yaml"         "htmltools"    "evaluate"    
#> [77] "base64enc"    "tinytex"      "xfun"         "labeling"    
#> [81] "munsell"      "RColorBrewer" "zeallot"      "sys"         
#> [85] "highr"        "markdown"     "colorspace"   "ps"          
#> [89] "feather"

There is 86 :package: you need to install it seems.

You can follow the advice from the vignette to create a local CRAN in a folder, download those :package: into it. Then after moving the whole folder into you offline server, you would configure install.packages to use you local CRAN on your file system.

                 repos = paste0("file:///", pth_to_local_cran),
                 type = "source") # win.bin for windows if you download them

This is one way of achieving this.

You can also use some products to be CRAN mirrors for offline environment. Look at
hope it helps.


Hi all

Thank you for the advice.
I have installed all the packages, and the following error pop out instead:

Error: package or namespace load failed for ‘tidyverse’ in rbind(info, getNamespaceInfo(env, "S3methods")):
number of columns of matrices must match (see arg 2)
In addition: Warning message:
package ‘tidyverse’ was built under R version 3.6.1

I am unable to use tidyverse when i tried to load it. Is there anyway to resolve this?

So you need for that particular analysis all the tidverse?
You may have already installed what you need. I had once an error installing it. Long time, very expensive. In your circumstances I would go straight to what you need. Specific packages.
Extra dependencies can make a nightmare without internet...

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