export_rang: Export The Resolved Result As Installation Script

In rang: Reconstructing Reproducible R Computational Environments

Export The Resolved Result As Installation Script

Description

This function exports the results from resolve() to an installation script that can be run in a fresh R environment.

Usage

export_rang(
  rang,
  path,
  rang_as_comment = TRUE,
  verbose = TRUE,
  lib = NA,
  cran_mirror = "https://cran.r-project.org/",
  check_cran_mirror = TRUE,
  bioc_mirror = "https://bioconductor.org/packages/"
)

Arguments

rang	output from resolve()
path	character, path of the exported installation script
rang_as_comment	logical, whether to write resolved result and the steps to reproduce the file to path as comment
verbose	logical, pass to install.packages(), the negated value is also passed as quiet to both install.packages() and download.file().
lib	character, pass to install.packages(). By default, it is NA (to install the packages to the default location)
cran_mirror	character, which CRAN mirror to use
check_cran_mirror	logical, whether to check the CRAN mirror
bioc_mirror	character, which Bioconductor mirror to use

Details

The idea behind this is to determine the installation order of R packages locally. Then, the installation script can be deployed to another fresh R session to install R packages. dockerize() and apptainerize() are more reasonable ways because a fresh R session with all system requirements is provided. The current approach does not work in R < 2.1.0.

Value

path, invisibly

References

Ripley, B. (2005) Packages and their Management in R 2.1.0. R News, 5(1):8–11.

See Also

generate_installation_order()

Examples

if (interactive()) {
    graph <- resolve(pkgs = c("openNLP", "LDAvis", "topicmodels", "quanteda"),
                    snapshot_date = "2020-01-16")
    export_rang(graph, "rang.R")
}

rang documentation built on Oct. 8, 2023, 5:06 p.m.