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KappaTest Class |
Kappa Test for agreement in contingency tables.
Inheritance HierarchySystemObject
Accord.Statistics.TestingHypothesisTestNormalDistribution
Accord.Statistics.TestingZTest
Accord.Statistics.TestingKappaTest
Accord.Statistics.TestingHypothesisTestNormalDistribution
Accord.Statistics.TestingZTest
Accord.Statistics.TestingKappaTest
Namespace: Accord.Statistics.Testing
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0
SyntaxThe KappaTest type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | KappaTest(GeneralConfusionMatrix, OneSampleHypothesis) |
Creates a new Kappa test.
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| KappaTest(Double, Double, OneSampleHypothesis) |
Creates a new Kappa test.
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| KappaTest(GeneralConfusionMatrix, Double, OneSampleHypothesis) |
Creates a new Kappa test.
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| KappaTest(WeightedConfusionMatrix, Double, OneSampleHypothesis) |
Creates a new Kappa test.
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| KappaTest(Double, Double, Double, OneSampleHypothesis) |
Creates a new Kappa test.
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Properties| Name | Description | |
|---|---|---|
 | Analysis |
Gets the power analysis for the test, if available.
(Inherited from ZTest.) |
| Confidence |
Gets the 95% confidence interval for the EstimatedValue.
(Inherited from ZTest.) |
| CriticalValue |
Gets the critical value for the current significance level.
(Inherited from HypothesisTestTDistribution.) |
| EstimatedValue |
Gets the estimated value, such as the mean estimated from a sample.
(Inherited from ZTest.) |
| Hypothesis |
Gets the alternative hypothesis under test. If the test is
Significant, the null hypothesis can be rejected
in favor of this alternative hypothesis.
(Inherited from ZTest.) |
| HypothesizedValue |
Gets the hypothesized value.
(Inherited from ZTest.) |
| PValue |
Gets the P-value associated with this test.
(Inherited from HypothesisTestTDistribution.) |
| Significant |
Gets whether the null hypothesis should be rejected.
(Inherited from HypothesisTestTDistribution.) |
| Size |
Gets the significance level for the
test. Default value is 0.05 (5%).
(Inherited from HypothesisTestTDistribution.) |
| StandardError |
Gets the standard error of the estimated value.
(Inherited from ZTest.) |
| Statistic |
Gets the test statistic.
(Inherited from HypothesisTestTDistribution.) |
| StatisticDistribution |
Gets the distribution associated
with the test statistic.
(Inherited from HypothesisTestTDistribution.) |
| Tail |
Gets the test type.
(Inherited from HypothesisTestTDistribution.) |
| Variance |
Gets the variance of the Kappa statistic.
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Methods| Name | Description | |
|---|---|---|
 | AsymptoticKappaVariance(GeneralConfusionMatrix) |
Computes the asymptotic variance for Fleiss's Kappa variance using the formulae
by (Fleiss et al, 1969) when the underlying Kappa is assumed different from zero.
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| AsymptoticKappaVariance(GeneralConfusionMatrix, Double, Boolean) |
Computes the asymptotic variance for Fleiss's Kappa variance using the formulae
by (Fleiss et al, 1969). If nullHypothesis is set to true, the
method will return the variance under the null hypothesis.
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| AsymptoticKappaVariance(WeightedConfusionMatrix, Double, Boolean) |
Computes the asymptotic variance for Fleiss's Kappa variance using the formulae
by (Fleiss et al, 1969). If nullHypothesis is set to true, the
method will return the variance under the null hypothesis.
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 | Compute(Double, OneSampleHypothesis) |
Computes the Z test.
(Inherited from ZTest.) |
| Compute(Double, Double, Double, OneSampleHypothesis) |
Computes the Z test.
(Inherited from ZTest.) |
| DeltaMethodKappaVariance(GeneralConfusionMatrix) |
Compute Cohen's Kappa variance using the large sample approximation
given by Congalton, which is common in the remote sensing literature.
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| DeltaMethodKappaVariance(GeneralConfusionMatrix, Double) |
Compute Cohen's Kappa variance using the large sample approximation
given by Congalton, which is common in the remote sensing literature.
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| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetConfidenceInterval |
Gets a confidence interval for the EstimatedValue
statistic within the given confidence level percentage.
(Inherited from ZTest.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| OnSizeChanged | Update event. (Inherited from ZTest.) |
| PValueToStatistic(Double) |
Converts a given p-value to a test statistic.
(Inherited from ZTest.) |
| StatisticToPValue(Double) |
Converts a given test statistic to a p-value.
(Inherited from ZTest.) |
| ToString |
Converts the numeric P-Value of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) |
| ToString(String, IFormatProvider) |
Converts the numeric P-Value of this test to its equivalent string representation.
(Inherited from HypothesisTestTDistribution.) |
Extension Methods| Name | Description | |
|---|---|---|
 | HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) |
| IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) |
| To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
| ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
RemarksThe Kappa test tries to assert whether the Kappa measure of a a contingency table, is significantly different from another hypothesized value.
The computations used by the test are the same found in the 1969 paper by J. L. Fleiss, J. Cohen, B. S. Everitt, in which they presented the finally corrected version of the Kappa's variance formulae. This is contrast to the computations traditionally found in the remote sensing literature. For those variance computations, see the DeltaMethodKappaVariance(GeneralConfusionMatrix) method.
This is a z-test kind of test.
References:
- J. L. Fleiss. Statistical methods for rates and proportions. Wiley-Interscience; 3rd edition (September 5, 2003)
- J. L. Fleiss, J. Cohen, B. S. Everitt. Large sample standard errors of kappa and weighted kappa. Psychological Bulletin, Volume: 72, Issue: 5. Washington, DC: American Psychological Association, Pages: 323-327, 1969.
See Also