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identifying outliers. http://cran.r-project.org/web/packages/outliers/
15 lines
639 B
Text
15 lines
639 B
Text
A collection of some tests commonly used for identifying outliers:
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- Chi-squared test for outlier
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- Test for outlying or inlying variance
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- Dixon tests for outlier
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- Grubbs tests for one or two outliers in data sample
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- Find value with largest difference from the mean
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- Critical values and p-values for Cochran outlying variance test
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- Critical values and p-values for Dixon test
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- Calculate critical values and p-values for Grubbs test
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- Interpolate tabularized distribution
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- Remove the value(s) most differing from the mean
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- Calculate scores of the sample
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WWW: http://cran.r-project.org/web/packages/outliers/
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