Hypothesis Tests.Mc Nemar Test Method
Definition
Namespace: Numerics.NET.Statistics
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.2
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.2
Overload List
McNemar | Returns a McNemar test whether proportions are the same in two samples. |
McNemar | Returns a McNemar test whether proportions are the same in two samples. |
McNemarTest(ICategoricalVector, ICategoricalVector, Boolean)
Returns a McNemar test whether proportions are the same in two samples.
public static McNemarTest McNemarTest(
ICategoricalVector sample1,
ICategoricalVector sample2,
bool continuityCorrection = false
)
Parameters
- sample1 ICategoricalVector
- A categorical vector containing the first sample.
- sample2 ICategoricalVector
- A categorical vector containing the second sample.
- continuityCorrection Boolean (Optional)
- Specifies whether a continuity correction should be applied.
Return Value
McNemarTestA McNemar test
Remarks
Both samples must be categorical variables with only two levels, and they must have the same length.
Exceptions
Argument | sample1 is null. -or- sample2 is null. |
Argument | sample1 does not have exactly two levels. -or- sample2 does not have exactly two levels. |
Dimension | sample1 and sample2 do not have the same number of observations. |
McNemarTest<T>(IList<T>, IList<T>, Boolean)
Returns a McNemar test whether proportions are the same in two samples.
public static McNemarTest McNemarTest<T>(
IList<T> sample1,
IList<T> sample2,
bool continuityCorrection = false
)
Parameters
- sample1 IList<T>
- A categorical vector containing the first sample.
- sample2 IList<T>
- A categorical vector containing the second sample.
- continuityCorrection Boolean (Optional)
- Specifies whether a continuity correction should be applied.
Type Parameters
- T
Return Value
McNemarTestA McNemar test
Remarks
Both samples must be categorical variables with only two levels, and they must have the same length.
Exceptions
Argument | sample1 is null. -or- sample2 is null. |
Argument | sample1 does not have exactly two levels. -or- sample2 does not have exactly two levels. |
Dimension | sample1 and sample2 do not have the same number of observations. |