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o

scalation.stat

Q_Q_Plot

object Q_Q_Plot extends Error

The Q_Q_Plot object produces Quantile-Quantile plots that are used to compare probability distributions.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    @native() @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean
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  8. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  9. final def flaw(method: String, message: String): Unit

    Show the flaw by printing the error message.

    Show the flaw by printing the error message.

    method

    the method where the error occurred

    message

    the error message

    Definition Classes
    Error
  10. var frameless: Boolean

    Whether the plot is to be embedded or has its own frame To change, set to true before calling plot

  11. final def getClass(): Class[_]
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    @native()
  12. def hashCode(): Int
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    @native()
  13. final def isInstanceOf[T0]: Boolean
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  14. var makeStandard: Boolean

    Whether to transform the data to zero mean and unit standard deviation To change, set to true before calling plot

  15. final def ne(arg0: AnyRef): Boolean
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  16. final def notify(): Unit
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    @native()
  17. final def notifyAll(): Unit
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    @native()
  18. def plot(fInv: Distribution, f_df: Parameters, gInv: Distribution, g_df: Parameters, n: Int): FramelessPlot

    Produce a Q-Q plot for the two distribution.

    Produce a Q-Q plot for the two distribution.

    fInv

    the first inverse CDF

    f_df

    the degrees of freedom for the first distribution

    gInv

    the second inverse CDF

    g_df

    the degrees of freedom for the second distribution

    n

    the number of intervals

  19. def plot(fv: VectorD, gInv: Distribution, g_df: Parameters, n: Int): FramelessPlot

    Produce a Q-Q plot for the data vector and the distribution.

    Produce a Q-Q plot for the data vector and the distribution.

    fv

    the data vector

    gInv

    the inverse CDF

    g_df

    the degrees of freedom for the distribution

    n

    the number of intervals

  20. def plot(fv: VectorD, gv: VectorD): FramelessPlot

    Produce a Q-Q plot for the two data vectors.

    Produce a Q-Q plot for the two data vectors.

    fv

    the first data vector

    gv

    the second data vector

  21. final def synchronized[T0](arg0: ⇒ T0): T0
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  22. def toString(): String
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  23. final def wait(): Unit
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  24. final def wait(arg0: Long, arg1: Int): Unit
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  25. final def wait(arg0: Long): Unit
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