- Rank - Class in de.psychometrica.norming
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Calculates relative ranks, based on different ranking algorithms. *
Precompiled binaries and Javadoc can be found at
http://www.psychometrica.de/norming.html
The code is licensed under the Lesser General Public License (LGPL 2.0)
- Rank() - Constructor for class de.psychometrica.norming.Rank
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- RankConverter - Class in de.psychometrica.norming
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This class takes raw values or relative ranks and computes the relative ranks
and empirical t values for a list of values based on group membership.
- RankConverter(int[], double[]) - Constructor for class de.psychometrica.norming.RankConverter
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Constructor for calculating the empirical t values for a dataset with
different samples.
- RankConverter(int[], double[], double[]) - Constructor for class de.psychometrica.norming.RankConverter
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Constructor just for using this class for data storage.
- RankConverter(int[], int[], int) - Constructor for class de.psychometrica.norming.RankConverter
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Constructor for calculating relative ranks and the empirical t values
based on raw values for a dataset with different samples.
- RankConverter(int[], int) - Constructor for class de.psychometrica.norming.RankConverter
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Constructor for calculating relative ranks and the empirical t values
based on raw values for a dataset with one sample.
- RankConverter(int[]) - Constructor for class de.psychometrica.norming.RankConverter
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Constructor for calculating relative ranks and the empirical t values
based on raw values for a dataset with one sample.
- RANKIT - Static variable in class de.psychometrica.norming.Rank
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Option for using the ranking algorithm from Chambers, Cleveland, Kleiner,
and Tukey (1983): (relativeRank – .5) / sampleSize