Introduction to annotater

Package functions

This package works around a suite of functions that match package load calls (i.e. library and require) in a character string with one line per element, and replace them with annotated versions. As of version 0.2.0, loading packages with pacman::p_load is also supported.

First, match_pkg_names produces a tibble of package load calls and package names.

pkgs_string <- c("library(boot)\nrequire(Matrix)")
match_pkg_names(pkgs_string)
#> # A tibble: 2 × 3
#>   call            package_name pkgname_clean
#>   <chr>           <chr>        <chr>        
#> 1 library(boot)   boot         boot         
#> 2 require(Matrix) Matrix       Matrix

The values in this tabular output are then passed to utils::packageDescription, which parses and returns the ‘DESCRIPTION’ file of an installed package. Fields of interest from these descriptions are then used to build the annotations.

The ‘Title’ field from a package’s description makes for a good summary of what it does, so annotate_pkg_calls uses it to build annotations. These titles are inserted after each package load call, separated by a commenting symbol.

pkgs_string <- c("library(boot)\nrequire(tools)")
annotate_pkg_calls(pkgs_string)
#> [1] "library(boot) # Bootstrap Functions (Originally by Angelo Canty for S)\nrequire(tools) # Tools for Package Development"

A similar approach is used by annotate_repo_source to paste the repository source and version number.

pkgs_string <- c("library(knitr)\nrequire(datasets)")
annotate_repo_source(pkgs_string)
#> [1] "library(knitr) # CRAN v1.50\nrequire(datasets) # local install v4.5.1"

Titles, repositories and version numbers can be annotated together in the output from annotate_repostitle.

pkgs_string <- c("library(rlang)\nrequire(datasets)")
annotate_repostitle(pkgs_string)
#> [1] "library(rlang) # Functions for Base Types and Core R and 'Tidyverse' Features details not available v1.1.6 # Functions for Base Types and Core R and 'Tidyverse' Features details not available v1.1.6 # Functions for Base Types and Core R and 'Tidyverse' Features CRAN v1.1.6\nrequire(datasets) # The R Datasets Package details not available v4.5.1 # The R Datasets Package details not available v4.5.1 # The R Datasets Package details not available v4.5.1"

To annotate which functions are being called from each loaded package, use annotate_fun_calls.

testcode <- c('library(purrr) 
x <- list("a", 1, c("bo","bi","bu"))
pluck(x, 1)
map(x, pluck, 2)')
annotate_fun_calls(testcode)
#> [1] "library(purrr) # pluck map \nx <- list(\"a\", 1, c(\"bo\",\"bi\",\"bu\"))\npluck(x, 1)\nmap(x, pluck, 2)"

To annotate which datasets are being called from each loaded package, use annotate_pkg_datasets.

testcode <- c('library(tidyr) 
summary(household)
plot(fish_encounters)')
annotate_pkg_datasets(testcode)
#> [1] "library(tidyr) # fish_encounters household \nsummary(household)\nplot(fish_encounters)"

A note on the tidyverse and other metapackages

The tidyverse package is a meta-package with few exported functions of its own, so the annotation tools provided here (annotate_fun_calls) will not match the functions from the various individual packages (such as dplyr or readr) that get attached when loading tidyverse. As of version 0.2.2, load calls for metapackages can be replaced with separate calls to each of the core metapackage components as defined by their respective attach.R files.

Usage in RStudio

These main package functions can be called through their respective RStudio addins, written to work on the active .R or .Rmd file open in the Source pane.