ChiSquaredTest

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1. def != (arg0: AnyRef): Boolean

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2. def != (arg0: Any): Boolean

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3. def ## (): Int

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4. def == (arg0: AnyRef): Boolean

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5. def == (arg0: Any): Boolean

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6. def asInstanceOf [T0] : T0

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7. def clone (): AnyRef

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8. def eq (arg0: AnyRef): Boolean

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9. def equals (arg0: Any): Boolean

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10. def finalize (): Unit

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11. def getClass (): java.lang.Class[_]

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12. def hashCode (): Int

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13. def independent (table: JblasMatrix[Double]): Boolean

    Computes whether there is a 95% probability that this correlation happened by chance

    Computes whether there is a 95% probability that this correlation happened by chance

    TODO generalize this so that it looks up the P value based on user-specified confidence

    val dof = (table.height - 1) * (table.width - 1)

14. def isInstanceOf [T0] : Boolean

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15. def ne (arg0: AnyRef): Boolean

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16. def notify (): Unit

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17. def notifyAll (): Unit

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18. def synchronized [T0] (arg0: ⇒ T0): T0

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19. def toString (): String

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20. def wait (): Unit

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21. def wait (arg0: Long, arg1: Int): Unit

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22. def wait (arg0: Long): Unit

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23. def χ2 (tally: JblasMatrix[Double]): Double

24. def χ2probability (χ2: Double, dof: Int): Double

    http://fonsg3.

    http://fonsg3.let.uva.nl/Service/Statistics/ChiSquare_distribution.html

    Z = {(X^2/DoF)(1/3) - (1 - 2/(9*DoF))}/SQRT(2/(9*DoF))

    dof

    degrees of freedom

    http://www.math.bcit.ca/faculty/david_sabo/apples/math2441/section8/onevariance/chisqtable/chisqtable.htm

    TODO validate this against http://www.ento.vt.edu/~sharov/PopEcol/tables/chisq.html