Last updated: 2020-02-25

Checks: 2 0

Knit directory: RcppComputingClub/

This reproducible R Markdown analysis was created with workflowr (version 1.6.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

R Markdown file: up-to-date

Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Repository version: 87d1bc8

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Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated: 


working directory clean

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File Version Author Date Message
Rmd 560db78 scristia 2020-02-25 wflow_git_commit(all = TRUE, files = c(“index.Rmd”, “intro.Rmd”,

Anatomy of an R Package

Inspection of R source code for any R package will reveal the following directories and files:

  • R: for R functions
  • vignettes: Latex papers weaving R code and indicating the intended workflow of an analysis
  • man: documentation for exported R functions
  • src: compiled code
  • DESCRIPTION: file provides a brief description of the project, a version number, and any packages for which your package depends.

Using Rcpp:

  • All compiled code goes in package/src directory
  • Code in src/ will be automatically compiled and shared libraries created when building the package.
  • Instantiate an Rcpp package: Rcpp.package.skeleton

devtools

Starting an Rcpp Project

Documentation