Libraries.Compute.Statistics.Tests.CorrelateRanks

This class implements a Spearm Correlation Coefficient. For more information, see the wikipedia page: https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient There are two ways to use this class. First, if we want to correlate two groups, the class will automatically detect this case and we can call actions like GetCorrelation, which will return that case. If we want to compare more than two groups, these actions will throw errors and we will be requested to either iterate through the results or two call the corresponding GetCorrelation(leftIndex, rightIndex) actions.

Example Code

use Libraries.Compute.Statistics.DataFrame
    use Libraries.Compute.Statistics.Tests.CorrelateGroups

    DataFrame frame
    frame:Load("Data/Data.csv")

    CorrelateRanks correlate
    correlate:Add(0)
    correlate:Add(1)
    frame:Calculate(correlate)
    
    output correlate:GetCorrelation()

This action adds a value to the end of the input.

This calculates a hash value for the results table.

This action compares two object hash codes and returns an integer. The result is larger if this hash code is larger than the object passed as a parameter, smaller, or equal. In this case, -1 means smaller, 0 means equal, and 1 means larger. This action was changed in Quorum 7 to return an integer, instead of a CompareResult object, because the previous implementation was causing efficiency issues.

Example Code

Object o
        Object t
        integer result = o:Compare(t) //1 (larger), 0 (equal), or -1 (smaller)

This action empty's the list, clearing out all of the items contained within it.

This action determines if two objects are equal based on their hash code values.

Example Code

use Libraries.Language.Object
        use Libraries.Language.Types.Text
        Object o
        Text t
        boolean result = o:Equals(t)

This action gets the item at a given location in an array.

This action gets an iterator for the object and returns that iterator.

This action gets the size of the array.

This returns a correlation between two particular columns. If no such correlation exists, this action returns undefined.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
        use Libraries.Containers.Iterator
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        CorrelateGroupsResult result = correlate:GetCorrelateGroupsResult(0, 1)

Obtains the raw correlation, typically named "r" in statistics. This calculation only returns a result in the case where the number of correlations to calculate is 2 (two columns). If the number of groups is 3 or more, GetCorrelation(integer leftIndex, integer rightIndex) should be used instead. This is a convenience action for the two-group case.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetCorrelation()

Obtains the raw correlation, typically named "r" in statistics. This calculation only returns a result in the case where the left and right indexes are valid.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetCorrelation(0, 1)

Obtains the critical value calculated by the test (traditionally letter t in statistics). This calculation only returns a result in the case where the left and right indexes are valid.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetCriticalValue(0, 1)

Obtains the critical value calculated by the test (traditionally letter t in statistics). This calculation only returns a result in the case where the number of correlations to calculate is 2 (two columns). If the number of groups is 3 or more, GetDegreesOfFreedom(integer leftIndex, integer rightIndex) should be used instead. This is a convenience action for the two-group case.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetCriticalValue()

Obtains the degrees of freedom calculated by the test. This calculation only returns a result in the case where the number of correlations to calculate is 2 (two columns). If the number of groups is 3 or more, GetDegreesOfFreedom(integer leftIndex, integer rightIndex) should be used instead. This is a convenience action for the two-group case.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetDegreesOfFreedom()

Obtains the raw degrees of freedom. This calculation only returns a result in the case where the left and right indexes are valid.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetDegreesOfFreedom(0, 1)

Obtains the raw probability value (p in statistics). This calculation only returns a result in the case where the left and right indexes are valid.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetProbabilityValue(0, 1)

This action gets the hash code for an object.

Example Code

Object o
        integer hash = o:GetHashCode()

Obtains the raw probability value (p in statistics). This calculation only returns a result in the case where the left and right indexes are valid.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetProbabilityValue(0, 1)

Obtains the probability value (p in statistics) calculated by the test. This calculation only returns a result in the case where the number of correlations to calculate is 2 (two columns). If the number of groups is 3 or more, GetDegreesOfFreedom(integer leftIndex, integer rightIndex) should be used instead. This is a convenience action for the two-group case.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        output correlate:GetProbabilityValue()

This returns an Iterator object of all results calculated. If there happened to only be two correlations calculated, this iterator will still contain the one correlation.

Example Code

use Libraries.Compute.Statistics.DataFrame
        use Libraries.Compute.Statistics.Tests.CorrelateGroups
        use Libraries.Containers.Iterator
    
        DataFrame frame
        frame:Load("Data/Data.csv")
    
        CorrelateRanks correlate
        correlate:Add(0)
        correlate:Add(1)
        frame:Calculate(correlate)
        
        Iterator<CorrelateGroupsResult> iterator = correlate:GetResultIterator()

This action returns a boolean value, true if the container is empty and false if it contains any items.

This action removes the first occurrence of an item that is found in the Addable object.

This action removes an item from an indexed object and returns that item.