Check if an argument is a subset of a given set
checkSubset(x, choices, empty.ok = TRUE, fmatch = FALSE)check_subset(x, choices, empty.ok = TRUE, fmatch = FALSE)
assertSubset(x, choices, empty.ok = TRUE, fmatch = FALSE,
.var.name = vname(x), add = NULL)
assert_subset(x, choices, empty.ok = TRUE, fmatch = FALSE,
.var.name = vname(x), add = NULL)
testSubset(x, choices, empty.ok = TRUE, fmatch = FALSE)
test_subset(x, choices, empty.ok = TRUE, fmatch = FALSE)
expect_subset(x, choices, empty.ok = TRUE, fmatch = FALSE,
info = NULL, label = vname(x))
[any] Object to check.
[atomic
]
Set of possible values. May be empty.
[logical(1)
]
Treat zero-length x
as subset of any set choices
(this includes NULL
)?
Default is TRUE
.
[character(1)
]
Name of the checked object to print in assertions. Defaults to
the heuristic implemented in vname
.
[AssertCollection
]
Collection to store assertion messages. See AssertCollection
.
[character(1)]
Extra information to be included in the message for the testthat reporter.
See expect_that
.
[character(1)
]
Name of the checked object to print in messages. Defaults to
the heuristic implemented in vname
.
Depending on the function prefix:
If the check is successful, the functions
assertSubset
/assert_subset
return
x
invisibly, whereas
checkSubset
/check_subset
and
testSubset
/test_subset
return
TRUE
.
If the check is not successful,
assertSubset
/assert_subset
throws an error message,
testSubset
/test_subset
returns FALSE
,
and checkSubset
returns a string with the error message.
The function expect_subset
always returns an
expectation
.
Other set: checkChoice
,
checkDisjunct
, checkSetEqual
# NOT RUN {
testSubset(c("a", "z"), letters)
testSubset("ab", letters)
testSubset("Species", names(iris))
# x is not converted before the comparison (except for numerics)
testSubset(factor("a"), "a")
testSubset(1, "1")
testSubset(1, as.integer(1))
# }
Run the code above in your browser using DataLab