Libraries.Compute.Statistics.Tests.CompareGroupToMean

This class implements a one-sample t-test. For more information, see this: https://en.wikipedia.org/wiki/Student%27s_t-test

Example Code

use Libraries.Compute.Statistics.DataFrame
    use Libraries.Compute.Statistics.Tests.CompareColumnToMean

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

    //independent samples t-test
    CompareColumnToMean compare
    compare:SetColumn1("DT")
        
    //calculate the t-test and output a summary
    frame:Calculate(compare)
    output compare:GetFormalSummary()

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 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 returns a critical value, or the place on the distribution where are caluclating our probability values from. The critical value, for a test like a t-test, would be equivalent to a t-value.

Obtains the degrees of freedom calculated by the test.

This action returns a formal academic summary of the result.

Returns the name of the column specified.

Gets the column mean value.

Gets the column variance value.

This action gets the hash code for an object.

Example Code

Object o
        integer hash = o:GetHashCode()

Gets the mean value.

In Statistics, this is often termed a p-value.

This action obtains an informal summary of the result.

This action returns the unstandardized effect size. By default, this value is Cohen's D: https://en.wikipedia.org/wiki/Effect_size

Sets the name of the column to be analyzed.

Sets the mean value.