checkhelper

A package to help you deal with devtools::check() outputs and helps avoids problems with CRAN submissions

Complete documentation in the {pkgdown} site: https://thinkr-open.github.io/checkhelper/

Installation

You can install the last version of checkhelper from github with:

remotes::install_github("thinkr-open/checkhelper")

Examples

  • Check your current package under development and get all the globals missing: no visible global variable and no visible global function
  • Detect exported functions with missing or empty @return / @noRd tags

Directly in your package in development

  • Use checkhelper::find_missing_tags() on your package in development to find which functions are exported but missing @export roxygen2 tag.
    • CRAN policy asks for every exported function to have a value (named @export when using {roxygen2}).
    • This also checks that not exported functions dont have roxygen title, or have @noRd in case you faced Please add \value to .Rd files CRAN message for documented but not exported functions.
  • You can directly use checkhelper::print_globals() on your package instead of devtools::check(). This is a wrapper around rcmdcheck::rcmdcheck(). This will run the checks and directly list the potential “globalVariables” to add in a globals.R file.
checkhelper::find_missing_tags()

checkhelper::print_globals(quiet = TRUE)

Reproducible example with a fake package in tempdir

  • Create a fake package with
    • a function having global variables
    • a function with @export but no @return
    • a function with title but without @export and thus missing @noRd 
library(checkhelper)

# Create fake package ----
pkg_path <- tempfile(pattern = "pkg.")
dir.create(pkg_path)

# Create fake package
usethis::create_package(pkg_path, open = FALSE)
#> ✓ Setting active project to '/tmp/Rtmpr5hR9Z/pkg.5ecb790df6c5'
#> ✓ Creating 'R/'
#> ✓ Writing 'DESCRIPTION'
#> ✓ Writing 'NAMESPACE'
#> ✓ Setting active project to '<no active project>'

# Create function no visible global variables and missing documented functions
cat("
#' Function
#' @importFrom dplyr filter
#' @export
my_fun <- function() {
data %>%
filter(col == 3) %>%
mutate(new_col = 1) %>%
ggplot() +
  aes(x, y, colour = new_col) +
  geom_point()
}

#' Function not exported but with doc
my_not_exported_doc <- function() {
  message('Not exported but with title, should have @noRd')
}
", file = file.path(pkg_path, "R", "function.R"))

attachment::att_amend_desc(path = pkg_path)
#> Updating pkg.5ecb790df6c5 documentation
#> First time using roxygen2. Upgrading automatically...
#> ℹ Loading pkg.5ecb790df6c5
#> [+] 1 package(s) added: dplyr.

# Files of the package
fs::dir_tree(pkg_path, recursive = TRUE)
#> Warning: `recursive` is deprecated, please use `recurse` instead
  • Find missing @return and find missing @noRd for not exported function with documentation
find_missing_tags(pkg_path)
#> ℹ Loading pkg.5ecb790df6c5
#> Writing NAMESPACE
#> Missing or empty return value for exported functions: my_fun
#> Doc available but need to choose between `@export` or `@noRd`: my_not_exported_doc
#> # A tibble: 2 x 8
#>   topic          has_export has_return return_value not_empty_return_v… has_nord
#>   <chr>          <lgl>      <lgl>      <chr>        <lgl>               <lgl>   
#> 1 my_fun         TRUE       FALSE      ""           FALSE               FALSE   
#> 2 my_not_export… FALSE      FALSE      ""           FALSE               FALSE   
#> # … with 2 more variables: test_has_export_and_return <chr>,
#> #   test_has_export_or_has_nord <chr>
  • Get global variables
globals <- get_no_visible(pkg_path, quiet = TRUE)
globals
#> $globalVariables
#> # A tibble: 4 x 6
#>   notes              fun    is_function is_global_varia… variable proposed      
#>   <chr>              <chr>  <lgl>       <lgl>            <chr>    <chr>         
#> 1 my_fun: no visibl… my_fun FALSE       TRUE             data     " importFrom(…
#> 2 my_fun: no visibl… my_fun FALSE       TRUE             x         <NA>         
#> 3 my_fun: no visibl… my_fun FALSE       TRUE             y         <NA>         
#> 4 my_fun: no visibl… my_fun FALSE       TRUE             new_col   <NA>         
#> 
#> $functions
#> # A tibble: 5 x 6
#>   notes                    fun    is_function is_global_varia… variable proposed
#>   <chr>                    <chr>  <lgl>       <lgl>            <chr>    <chr>   
#> 1 my_fun: no visible glob… my_fun TRUE        FALSE            %>%      <NA>    
#> 2 my_fun: no visible glob… my_fun TRUE        FALSE            mutate   <NA>    
#> 3 my_fun: no visible glob… my_fun TRUE        FALSE            ggplot   <NA>    
#> 4 my_fun: no visible glob… my_fun TRUE        FALSE            aes      <NA>    
#> 5 my_fun: no visible glob… my_fun TRUE        FALSE            geom_po… <NA>
  • Print globals to copy-paste
print_globals(globals)
#> --- Fonctions to add in NAMESPACE (with @importFrom ?) ---
#> 
#> my_fun: %>%, aes, geom_point, ggplot, mutate
#> 
#> --- Potential GlobalVariables ---
#> -- code to copy to your globals.R file --
#> 
#> globalVariables(unique(c(
#> # my_fun: 
#> "data", "new_col", "x", "y"
#> )))