Package 'goodpractice'

Title: Advice on R Package Building
Description: Give advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting, etc.
Authors: Mark Padgham [aut, cre] , Ascent Digital Services UK Limited [cph] (MangoTheCat), Karina Marks [aut] (KarinaMarks), Daniel de Bortoli [aut] (ddbortoli), Gabor Csardi [aut], Hannah Frick [aut], Owen Jones [aut] (owenjonesuob), Hannah Alexander [aut], Ana Simmons [ctb] (anasimmons), Fabian Scheipl [ctb] (fabian-s)
Maintainer: Mark Padgham <[email protected]>
License: MIT + file LICENSE
Version: 1.0.5.9000
Built: 2024-12-18 06:11:21 UTC
Source: https://github.com/ropensci-review-tools/goodpractice

Help Index


goodpractice: Advice on R Package Building

Description

Give advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting, etc.

Author(s)

Maintainer: Mark Padgham [email protected] (ORCID)

Authors:

Other contributors:

  • Ascent Digital Services UK Limited (MangoTheCat) [copyright holder]

  • Ana Simmons [email protected] (anasimmons) [contributor]

  • Fabian Scheipl (fabian-s) [contributor]

See Also

Useful links:


List the names of all checks

Description

List the names of all checks

Usage

all_checks()

Value

Character vector of checks


List all checks performed

Description

List all checks performed

Usage

checks(gp)

Arguments

gp

gp output.

Value

Character vector of check names.

See Also

Other API: failed_checks(), results()

Examples

path <- system.file("bad1", package = "goodpractice")
# run a subset of all checks available
g <- gp(path, checks = all_checks()[3:16])
checks(g)

Defining custom preparations and checks

Description

Defining custom preparations and checks

Usage

make_prep(name, func)

make_check(description, check, gp, ...)

Arguments

name

Name of the preparation function.

func

A function that takes two arguments: The path to the root directory of the package, and a logical argument: quiet. If quiet is true, the preparation function may print out diagnostic messages. The output of this function will be saved as the " name" entry of state, i.e. of the input for the check-functions (see example).

description

A description of the check.

check

A function that takes the state as an argument.

gp

A short description of what is good practice.

...

Further arguments. Most important: A preps argument that contains the names of all the preparation functions required for the check.

Functions

  • make_prep(): Create a preparation function

  • make_check(): Create a check function

Examples

# make a preparation function
url_prep <- make_prep(
  name = "desc", 
  func = function(path, quiet) desc::description$new(path)
)
# and the corresponding check function
url_chk <- make_check(
  description = "URL field in DESCRIPTION",
  tags = character(),
  preps = "desc",
  gp = "have a URL field in DESCRIPTION",
  check = function(state) state$desc$has_fields("URL")
)
# use together in gp():
# (note that you have to list the name of your custom check in
# the checks-argument as well....)
bad1 <- system.file("bad1", package = "goodpractice")
res <- gp(bad1, checks = c("url", "no_description_depends"),
          extra_preps = list("desc" = url_prep),
          extra_checks = list("url" = url_chk))

Export failed checks to JSON

Description

Export failed checks to JSON

Usage

export_json(gp, file, pretty = FALSE)

Arguments

gp

gp output.

file

Output connection or file.

pretty

Whether to pretty-print the JSON.


Names of the failed checks

Description

Names of the failed checks

Usage

failed_checks(gp)

Arguments

gp

gp output.

Value

Names of the failed checks.

See Also

Other API: checks(), results()

Examples

path <- system.file("bad1", package = "goodpractice")
# run a subset of all checks available
g <- gp(path, checks = all_checks()[3:16])
failed_checks(g)

Positions of check failures in the source code

Description

Note that not all checks refer to the source code. For these the result will be NULL.

Usage

failed_positions(gp)

Arguments

gp

gp output.

Details

For the ones that do, the results is a list, one for each failure. Since the same check can fail multiple times. A single failure is a list with entries: filename, line_number, column_number, ranges. ranges is a list of pairs of start and end positions for each line involved in the check.

Value

A list of lists of positions. See details below.


Run good practice checks

Description

To see the results, just print it to the screen.

Usage

gp(
  path = ".",
  checks = all_checks(),
  extra_preps = NULL,
  extra_checks = NULL,
  quiet = TRUE
)

Arguments

path

Path to a package root.

checks

Character vector, the checks to run. Defaults to all checks. Use all_checks to list all checks.

extra_preps

Custom preparation functions. See make_prep on creating preparation functions.

extra_checks

Custom checks. See make_check on creating checks.

quiet

Whether to suppress output from the preparation functions. Note that not all preparation functions produce output, even if this option is set to FALSE.

Value

A goodpractice object that you can query with a simple API. See results to start.

Examples

path <- system.file("bad1", package = "goodpractice")
# run a subset of all checks available
g <- gp(path, checks = all_checks()[3:16])
g

Print goodpractice results

Description

Print goodpractice results

Usage

## S3 method for class 'goodPractice'
print(x, positions_limit = 5, ...)

Arguments

x

Object of class goodPractice, as returned by gp().

positions_limit

How many positions to print at most.

...

Unused, for compatibility with base::print() generic method.


Return all check results in a data frame

Description

Return all check results in a data frame

Usage

results(gp)

Arguments

gp

gp output.

Value

Data frame, with columns:

check

The name of the check.

result

Logical, whether it has failed or not.

See Also

Other API: checks(), failed_checks()

Examples

path <- system.file("bad1", package = "goodpractice")
# run a subset of all checks available
g <- gp(path, checks = all_checks()[3:16])
results(g)