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Check if an argument is a factor

Source: R/checkFactor.R
checkFactor.Rd

Check if an argument is a factor

Usage

checkFactor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)

check_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)

assertFactor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE,
  .var.name = vname(x),
  add = NULL
)

assert_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE,
  .var.name = vname(x),
  add = NULL
)

testFactor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)

test_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE
)

expect_factor(
  x,
  levels = NULL,
  ordered = NA,
  empty.levels.ok = TRUE,
  any.missing = TRUE,
  all.missing = TRUE,
  len = NULL,
  min.len = NULL,
  max.len = NULL,
  n.levels = NULL,
  min.levels = NULL,
  max.levels = NULL,
  unique = FALSE,
  names = NULL,
  null.ok = FALSE,
  info = NULL,
  label = vname(x)
)

Arguments

x

[any]
Object to check.

levels

[character]
Vector of allowed factor levels.

ordered

[logical(1)]
Check for an ordered factor? If FALSE or TRUE, checks explicitly for an unordered or ordered factor, respectively. Default is NA which does not perform any additional check.

empty.levels.ok

[logical(1)]
Are empty levels allowed? Default is TRUE.

any.missing

[logical(1)]
Are vectors with missing values allowed? Default is TRUE.

all.missing

[logical(1)]
Are vectors with no non-missing values allowed? Default is TRUE. Note that empty vectors do not have non-missing values.

len

[integer(1)]
Exact expected length of x.

min.len

[integer(1)]
Minimal length of x.

max.len

[integer(1)]
Maximal length of x.

n.levels

[integer(1)]
Exact number of factor levels. Default is NULL (no check).

min.levels

[integer(1)]
Minimum number of factor levels. Default is NULL (no check).

max.levels

[integer(1)]
Maximum number of factor levels. Default is NULL (no check).

unique

[logical(1)]
Must all values be unique? Default is FALSE.

names

[character(1)]
Check for names. See checkNamed for possible values. Default is “any” which performs no check at all. Note that you can use checkSubset to check for a specific set of names.

null.ok

[logical(1)]
If set to TRUE, x may also be NULL. In this case only a type check of x is performed, all additional checks are disabled.

.var.name

[character(1)]
Name of the checked object to print in assertions. Defaults to the heuristic implemented in vname.

add

[AssertCollection]
Collection to store assertion messages. See AssertCollection.

info

[character(1)]
Extra information to be included in the message for the testthat reporter. See expect_that.

label

[character(1)]
Name of the checked object to print in messages. Defaults to the heuristic implemented in vname.

Value

Depending on the function prefix: If the check is successful, the functions assertFactor/assert_factor return x invisibly, whereas checkFactor/check_factor and testFactor/test_factor return TRUE. If the check is not successful, assertFactor/assert_factor throws an error message, testFactor/test_factor returns FALSE, and checkFactor/check_factor return a string with the error message. The function expect_factor always returns an expectation.

See also

Other basetypes: checkArray(), checkAtomic(), checkAtomicVector(), checkCharacter(), checkComplex(), checkDataFrame(), checkDate(), checkDouble(), checkEnvironment(), checkFormula(), checkFunction(), checkInteger(), checkIntegerish(), checkList(), checkLogical(), checkMatrix(), checkNull(), checkNumeric(), checkPOSIXct(), checkRaw(), checkVector()

Examples

x = factor("a", levels = c("a", "b"))
testFactor(x)
#> [1] TRUE
testFactor(x, empty.levels.ok = FALSE)
#> [1] FALSE