Last data update: 2014.03.03
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Cran Task View
BiocViews
SMO (statistical methods ontology)
Results 1 - 10 of 53 found.[1]
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checkIntegerish
(Package: checkmate ) :
Check if an object is an integerish vector
● Data Source:
CranContrib
vname
(Package: checkmate ) :
Lookup a variable name
x in the parent frame with a combination of deparse and substitute. Used for checkmate's error messages.
● Data Source:
CranContrib
checkCharacter
(Package: checkmate ) :
Check if an argument is a vector of type character
● Data Source:
CranContrib
checkNames
(Package: checkmate ) :
Check names to comply to specific rules
checkNamed but you can pass the names directly.
● Data Source:
CranContrib
qassert
(Package: checkmate ) :
Quick argument checks on (builtin) R types
● Data Source:
CranContrib
checkPathForOutput
(Package: checkmate ) :
Check if a path is suited for creating an output file
● Data Source:
CranContrib
makeAssertion
(Package: checkmate ) :
Turn a Check into an Assertion
makeAssertion is the internal function used to evaluate the result of a check and throw an exception if necessary. makeAssertionFunction can be used to automatically create an assertion function based on a check function (see example).
● Data Source:
CranContrib
checkArray
(Package: checkmate ) :
Check if an argument is an array
● Data Source:
CranContrib
allMissing
(Package: checkmate ) :
Check if an object contains missing values
is.atomic), lists and data frames. Missingness is defined as NA or NaN for atomic types and data frame columns, NULL is defined as missing for lists.allMissing applied to a data.frame returns TRUE if at least one column has only non-missing values. If you want to perform the less frequent check that there is not a single non-missing observation present in the data.frame, use all(sapply(df, allMissing)) instead.
● Data Source:
CranContrib
checkString
(Package: checkmate ) :
Check if an argument is a string
● Data Source:
CranContrib
providing 
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