Edits to docs for linters

R/aaa.R

@@ -12,7 +12,7 @@ NULL
 #' Available linters
 #' @name linters
 #'
-#' @description A variety of linters is available in \pkg{lintr}. The most popular ones are readily
+#' @description A variety of linters are available in \pkg{lintr}. The most popular ones are readily
 #' accessible through [default_linters()].
 #'
 #' Within a [lint()] function call, the linters in use are initialized with the provided

R/any_duplicated_linter.R

@@ -1,9 +1,8 @@
-#' Require usage of anyDuplicated() > 0 over any(duplicated(.))
+#' Require usage of `anyDuplicated(x) > 0` over `any(duplicated(x))`
 #'
-#' [anyDuplicated()] exists as a replacement for `any(duplicated(.))` which is
-#'   more efficient for simple objects, and in the worst case is the same
-#'   efficiency. Therefore it should be used in all situations instead of the
-#'   latter.
+#' [anyDuplicated()] exists as a replacement for `any(duplicated(.))`, which is
+#'   more efficient for simple objects, and is at worst equally efficient.
+#'   Therefore, it should be used in all situations instead of the latter.
 #'
 #' Also match usage like `length(unique(x$col)) == nrow(x)`, which can
 #'   be replaced by `anyDuplicated(x$col) == 0L`.

R/any_is_na_linter.R

@@ -1,8 +1,8 @@
-#' Require usage of anyNA over any(is.na(.))
+#' Require usage of `anyNA(x)` over `any(is.na(x))`
 #'
-#' [anyNA()] exists as a replacement for `any(is.na(.))` which is more efficient
-#'   for simple objects, and in the worst case is the same efficiency. Therefore
-#'   it should be used in all situations instead of the latter.
+#' [anyNA()] exists as a replacement for `any(is.na(x))` which is more efficient
+#'   for simple objects, and is at worst equally efficient.
+#'   Therefore, it should be used in all situations instead of the latter.
 #'
 #' @evalRd rd_tags("any_is_na_linter")
 #' @seealso [linters] for a complete list of linters available in lintr.

R/class_equals_linter.R

@@ -1,4 +1,4 @@
-#' Block comparison of class with ==
+#' Block comparison of class with `==`
 #'
 #' Usage like `class(x) == "character"` is prone to error since class in R
 #'   is in general a vector. The correct version for S3 classes is [inherits()]:

R/closed_curly_linter.R

@@ -1,6 +1,7 @@
 #' Closed curly linter
 #'
-#' Check that closed curly braces are on their own line unless they follow an else, comma, or closing bracket.
+#' Check that closed curly braces are on their own line unless they follow
+#' an else, a comma, or a closing bracket.
 #'
 #' @param allow_single_line if `TRUE`, allow an open and closed curly pair on the same line.
 #' @evalRd rd_tags("closed_curly_linter")

R/condition_message_linter.R

@@ -1,4 +1,4 @@
-#' Block usage of paste() and paste0() with messaging functions using ...
+#' Block usage of `paste()` and `paste0()` with messaging functions using `...`
 #'
 #' `stop(paste0(...))` is strictly redundant -- `stop(...)` is equivalent.
 #'   `stop(...)` is also preferable to `stop(paste(...))`. The same applies to

R/conjunct_test_linter.R

@@ -1,4 +1,4 @@
-#' Force && conditions in expect_true(), expect_false() to be written separately
+#' Force `&&` conditions in `expect_true()` and `expect_false()` to be written separately
 #'
 #' For readability of test outputs, testing only one thing per call to
 #'   [testthat::expect_true()] is preferable, i.e.,

R/cyclocomp_linter.R

@@ -2,8 +2,8 @@
 #'
 #' Check for overly complicated expressions. See [cyclocomp::cyclocomp()].
 #'
-#' @param complexity_limit expressions with a cyclomatic complexity higher than this are linted, defaults to 15.
-#' See [cyclocomp::cyclocomp()].
+#' @param complexity_limit Maximum cyclomatic complexity, default 15. Expressions more complex
+#' than this are linted. See [cyclocomp::cyclocomp()].
 #' @evalRd rd_tags("cyclocomp_linter")
 #' @seealso [linters] for a complete list of linters available in lintr.
 #' @importFrom cyclocomp cyclocomp

R/duplicate_argument_linter.R

@@ -1,6 +1,10 @@
 #' Duplicate argument linter
 #'
-#' Check for duplicate arguments in function calls.
+#' Check for duplicate arguments in function calls. Some cases are run-time errors
+#' (e.g. `mean(x = 1:5, x = 2:3)`), otherwise this linter is used to discourage
+#'  explicitly providing duplicate names to objects (e.g. `c(a = 1, a = 2)`).
+#'  Duplicate-named objects are hard to work with programmatically and
+#'  should typically be avoided.
 #'
 #' @param except a character vector of function names as exceptions.
 #' @evalRd rd_tags("duplicate_argument_linter")

R/equals_na_linter.R

@@ -1,7 +1,7 @@
 #' Equality check with NA linter
 #'
-#' Check for `x == NA` and `x != NA`
-#'
+#' Check for `x == NA` and `x != NA`. Such usage is almost surely incorrect --
+#' checks for missing values should be done with [is.na()].
 #' @evalRd rd_tags("equals_na_linter")
 #' @seealso [linters] for a complete list of linters available in lintr.
 #' @export

R/expect_comparison_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of expect_gt(x, y) over expect_true(x > y) (and similar)
+#' Require usage of `expect_gt(x, y)` over `expect_true(x > y)` (and similar)
 #'
 #' [testthat::expect_gt()], [testthat::expect_gte()], [testthat::expect_lt()],
 #'   [testthat::expect_lte()], and [testthat::expect_equal()] exist specifically

R/expect_identical_linter.R

@@ -1,7 +1,7 @@
-#' Require usage of expect_identical(x, y) where appropriate
+#' Require usage of `expect_identical(x, y)` where appropriate
 #'
-#' At Google, [testthat::expect_identical()] should be the default/go-to function for
-#'   comparing an output to an expected value. `expect_true(identical(x, y))`
+#' This linter enforces the usage of [testthat::expect_identical()] as the
+#'   default expectation for comparisons in a testthat suite. `expect_true(identical(x, y))`
 #'   is an equivalent but unadvised method of the same test. Further,
 #'   [testthat::expect_equal()] should only be used when `expect_identical()`
 #'   is inappropriate, i.e., when `x` and `y` need only be *numerically
@@ -17,7 +17,7 @@
 #'   1. A named argument is set (e.g. `ignore_attr` or `tolerance`)
 #'   2. Comparison is made to an explicit decimal, e.g.
 #'      `expect_equal(x, 1.0)` (implicitly setting `tolerance`)
-#'   3. `...` is passed (wrapper functions whcih might set
+#'   3. `...` is passed (wrapper functions which might set
 #'      arguments such as `ignore_attr` or `tolerance`)
 #'
 #' @evalRd rd_tags("expect_identical_linter")

R/expect_length_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of expect_length(x, n) over expect_equal(length(x), n)
+#' Require usage of `expect_length(x, n)` over `expect_equal(length(x), n)`
 #'
 #' [testthat::expect_length()] exists specifically for testing the [length()] of
 #'   an object. [testthat::expect_equal()] can also be used for such tests,

R/expect_named_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of expect_named(x, n) over expect_equal(names(x), n)
+#' Require usage of `expect_named(x, n)` over `expect_equal(names(x), n)`
 #'
 #' [testthat::expect_named()] exists specifically for testing the [names()] of
 #'   an object. [testthat::expect_equal()] can also be used for such tests,

R/expect_not_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of expect_false(.) over expect_true(!.)
+#' Require usage of `expect_false(x)` over `expect_true(!x)`
 #'
 #' [testthat::expect_false()] exists specifically for testing that an output is
 #'   `FALSE`. [testthat::expect_true()] can also be used for such tests by

R/expect_null_linter.R

@@ -1,4 +1,4 @@
-#' expect_null Linter
+#' Require usage of `expect_null` for checking `NULL`
 #'
 #' Require usage of `expect_null(x)` over `expect_equal(x, NULL)` and similar
 #' usages.

R/expect_s3_class_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of expect_s3_class()
+#' Require usage of `expect_s3_class()`
 #'
 #' [testthat::expect_s3_class()] exists specifically for testing the class
 #'   of S3 objects. [testthat::expect_equal()], [testthat::expect_identical()],
@@ -69,7 +69,7 @@ is_s3_class_calls <- paste0("is.", c(
   "mts", "stepfun", "ts", "tskernel"
 ))
 
-#' Require usage of expect_s4_class(x, k) over expect_true(is(x, k))
+#' Require usage of `expect_s4_class(x, k)` over `expect_true(is(x, k))`
 #'
 #' [testthat::expect_s4_class()] exists specifically for testing the class
 #'   of S4 objects. [testthat::expect_true()] can also be used for such tests,

R/expect_true_false_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of expect_true(x) over expect_equal(x, TRUE)
+#' Require usage of `expect_true(x)` over `expect_equal(x, TRUE)`
 #'
 #' [testthat::expect_true()] and [testthat::expect_false()] exist specifically
 #'   for testing the `TRUE`/`FALSE` value of an object.

R/expect_type_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of expect_type(x, type) over expect_equal(typeof(x), type)
+#' Require usage of `expect_type(x, type)` over `expect_equal(typeof(x), type)`
 #'
 #' [testthat::expect_type()] exists specifically for testing the storage type
 #'   of objects. [testthat::expect_equal()], [testthat::expect_identical()], and

R/fixed_regex_linter.R

@@ -5,7 +5,7 @@
 #'
 #' NB: for `stringr` functions, that means wrapping the pattern in `stringr::fixed()`.
 #'
-#' NB: This linter is likely not able to distinguish every possible case when
+#' NB: this linter is likely not able to distinguish every possible case when
 #'   a fixed regular expression is preferable, rather it seeks to identify
 #'   likely cases. It should _never_ report false positives, however; please
 #'   report false positives as an error.

R/function_left_parentheses_linter.R

@@ -1,6 +1,8 @@
 #' Function left parentheses linter
 #'
-#' Check that all left parentheses in a function call do not have spaces before them.
+#' Check that all left parentheses in a function call do not have spaces before them
+#' (e.g. `mean  (1:3)`). Although this is syntactically valid, it makes the code
+#' difficult to read.
 #'
 #' @evalRd rd_tags("function_left_parentheses_linter")
 #' @seealso

R/ifelse_censor_linter.R

@@ -1,4 +1,4 @@
-#' Block usage of ifelse where pmin or pmax is more appropriate
+#' Block usage of `ifelse()` where `pmin()` or `pmax()` is more appropriate
 #'
 #' `ifelse(x > M, M, x)` is the same as `pmin(x, M)`, but harder
 #'   to read and requires several passes over the vector.

R/inner_combine_linter.R

@@ -1,7 +1,7 @@
-#' Require c() to be applied before relatively expensive vectorized functions
+#' Require `c()` to be applied before relatively expensive vectorized functions
 #'
-#' `as.Date(c(a, b))` is logically equivalent to `c(as.Date(a), as.Date(b))`;
-#'   ditto for the equivalence of several other vectorized functions like
+#' `as.Date(c(a, b))` is logically equivalent to `c(as.Date(a), as.Date(b))`.
+#'   The same equivalence holds for several other vectorized functions like
 #'   [as.POSIXct()] and math functions like [sin()]. The former is to be
 #'   preferred so that the most expensive part of the operation ([as.Date()])
 #'   is applied only once.

R/missing_argument_linter.R

@@ -1,6 +1,7 @@
 #' Missing argument linter
 #'
-#' Check for missing arguments in function calls.
+#' Check for missing arguments in function calls (e.g. `stats::median(1:10, )`).
+#'
 #' @param except a character vector of function names as exceptions.
 #' @param allow_trailing always allow trailing empty arguments?
 #' @evalRd rd_tags("missing_argument_linter")

R/nested_ifelse_linter.R

@@ -1,15 +1,15 @@
-#' Block usage of nested ifelse() calls
+#' Block usage of nested `ifelse()` calls
 #'
-#' Calling `ifelse` in nested calls is problematic for two main reasons:
+#' Calling [ifelse()] in nested calls is problematic for two main reasons:
 #'   1. It can be hard to read -- mapping the code to the expected output
 #'      for such code can be a messy task/require a lot of mental bandwidth,
 #'      especially for code that nests more than once
-#'   2. It is inefficient -- `ifelse` can evaluate _all_ of its arguments at
-#'      both yes and no (see https://stackoverflow.com/q/16275149); this issue
+#'   2. It is inefficient -- `ifelse()` can evaluate _all_ of its arguments at
+#'      both yes and no (see <https://stackoverflow.com/q/16275149>); this issue
 #'      is exacerbated for nested calls
 #'
 #' Users can instead rely on a more readable alternative modeled after SQL
-#'   CASE WHEN statements, such as `data.table::fcase` or `dplyr::case_when`,
+#'   CASE WHEN statements, such as `data.table::fcase()` or `dplyr::case_when()`,
 #'   or use a look-up-and-merge approach (build a mapping table between values
 #'   and outputs and merge this to the input).
 #'

R/object_usage_linter.R

@@ -1,9 +1,9 @@
 #' Object usage linter
 #'
 #' Check that closures have the proper usage using [codetools::checkUsage()].
-#' Note that this runs [base::eval()] on the code, so do not use with untrusted code.
+#' Note that this runs [base::eval()] on the code, so **do not use with untrusted code**.
 #'
-#' @param interpret_glue If TRUE, interpret [glue::glue()] calls to avoid false positives caused by local variables
+#' @param interpret_glue If `TRUE`, interpret [glue::glue()] calls to avoid false positives caused by local variables
 #' which are only used in a glue expression.
 #'
 #' @evalRd rd_tags("object_usage_linter")

R/outer_negation_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of !any(.) over all(!.), !all(.) over any(!.)
+#' Require usage of `!any(x)` over `all(!x)`, `!all(x)` over `any(!x)`
 #'
 #' `any(!x)` is logically equivalent to `!any(x)`; ditto for the equivalence of
 #'   `all(!x)` and `!any(x)`. Negating after aggregation only requires inverting

R/paren_brace_linter.R

@@ -1,6 +1,7 @@
 #' Parentheses before brace linter
 #'
 #' Check that there is a space between right parentheses and an opening curly brace.
+#' For example, `function(){}` doesn't have a space, while `function() {}` does.
 #'
 #' @evalRd rd_tags("paren_brace_linter")
 #' @seealso [linters] for a complete list of linters available in lintr.

R/paste_linter.R

@@ -1,4 +1,4 @@
-#' Raise lints for several common poor usages of paste()
+#' Raise lints for several common poor usages of `paste()`
 #'
 #' The following issues are linted by default by this linter
 #'   (and each can be turned off optionally):

R/redundant_ifelse_linter.R

@@ -1,9 +1,9 @@
-#' Prevent ifelse() from being used to produce TRUE/FALSE or 1/0
+#' Prevent `ifelse()` from being used to produce `TRUE`/`FALSE` or `1`/`0`
 #'
 #' Expressions like `ifelse(x, TRUE, FALSE)` and `ifelse(x, FALSE, TRUE)` are
 #'   redundant; just `x` or `!x` suffice in R code where logical vectors are a
 #'   core data structure. `ifelse(x, 1, 0)` is also `as.numeric(x)`, but even
-#'   this should only be needed rarely.
+#'   this should be needed only rarely.
 #'
 #' @evalRd rd_tags("redundant_ifelse_linter")
 #' @param allow10 Logical, default `FALSE`. If `TRUE`, usage like

R/regex_subset_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of direct methods for subsetting strings via regex.
+#' Require usage of direct methods for subsetting strings via regex
 #'
 #' Using `value = TRUE` in [grep()] returns the subset of the input that matches
 #'   the pattern, e.g. `grep("[a-m]", letters, value = TRUE)` will return the

R/sprintf_linter.R

@@ -1,7 +1,7 @@
-#' `sprintf` linter
+#' Require correct `sprintf()` calls
 #'
 #' Check for an inconsistent number of arguments or arguments with incompatible types (for literal arguments) in
-#' `sprintf` calls.
+#' `sprintf()` calls.
 #'
 #' @evalRd rd_tags("sprintf_linter")
 #' @seealso [linters] for a complete list of linters available in lintr.

R/string_boundary_linter.R

@@ -1,4 +1,4 @@
-#' Require usage of startsWith() and endsWith() over grepl()/substr() versions
+#' Require usage of `startsWith()` and `endsWith()` over `grepl()`/`substr()` versions
 #'
 #' [startsWith()] is used to detect fixed initial substrings; it is more
 #'   readable and more efficient than equivalents using [grepl()] or [substr()].
@@ -15,7 +15,7 @@
 #'
 #' We lint `grepl()` usages by default because the `!is.na()` version is more explicit
 #'   with respect to `NA` handling -- though documented, the way `grepl()` handles
-#'   missing inputs may be surprising to some readers.
+#'   missing inputs may be surprising to some users.
 #'
 #' @param allow_grepl Logical, default `FALSE`. If `TRUE`, usages with `grepl()`
 #'   are ignored. Some authors may prefer the `NA` input to `FALSE` output

R/strings_as_factors_linter.R

@@ -1,4 +1,4 @@
-#' Identify cases where stringsAsFactors should be supplied explicitly
+#' Identify cases where `stringsAsFactors` should be supplied explicitly
 #'
 #' Designed for code bases written for versions of R before 4.0 seeking to upgrade to R >= 4.0, where
 #'   one of the biggest pain points will surely be the flipping of the

R/system_file_linter.R

@@ -1,4 +1,4 @@
-#' Block usage of file.path() with system.file()
+#' Block usage of `file.path()` with `system.file()`
 #'
 #' [system.file()] has a `...` argument which, internally, is passed to
 #'   [file.path()], so including it in user code is repetitive.

R/undesirable_function_linter.R

@@ -1,7 +1,7 @@
 #' Undesirable function linter
 #'
-#' Report the use of undesirable functions, e.g. [base::return()], [base::options()], or
-#' [base::sapply()] and suggest an alternative.
+#' Report the use of undesirable functions (e.g. [base::return()], [base::options()], or
+#' [base::sapply()]) and suggest an alternative.
 #'
 #' @param fun Named character vector. `names(fun)` correspond to undesirable functions,
 #'   while the values give a description of why the function is undesirable.

R/unneeded_concatenation_linter.R

@@ -5,7 +5,9 @@
 #' @param allow_single_expression Logical, default `TRUE`. If `FALSE`, one-expression
 #'   usages of `c()` are always linted, e.g. `c(x)` and `c(matrix(...))`. In some such
 #'   cases, `c()` is being used for its side-effect of stripping non-name attributes;
-#'   it is usually preferable to use [as.vector()] to accomplish the same more readably.
+#'   it is usually preferable to use the more readable [as.vector()] instead.
+#'   [as.vector()] is not always preferable, for example with environments
+#'   (especially, `R6` objects), in which case `list()` is the better alternative.
 #'
 #' @evalRd rd_tags("unneeded_concatenation_linter")
 #' @seealso [linters] for a complete list of linters available in lintr.