IOFile

Value Members

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 calculatedToFile(cs: Vector[Calculation], f: String): Unit

   

   Writes Calculation data to file in the event that the estimator is not used in favor of naive calculation

   Writes Calculation data to file in the event that the estimator is not used in favor of naive calculation

   cs

   Calculation instances

   f

   file name

6. def clone(): AnyRef

   

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7. def delimInfoToFile(dPair: Pair[NTuple[Tree[Bin]]], kPair: Pair[Map[NTuple[Int], Int]], s: String): Unit

   

   Writes relevant delimiter information to file

   Writes relevant delimiter information to file

   dPair

   Pair of delimiters as NTuple of type Tree

   kPair

   Pair of mappings from n-dim data indices to 1-dim indices

   s

   file name

8. final def eq(arg0: AnyRef): Boolean

   

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9. def equals(arg0: Any): Boolean

   

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10. def estimatesToFileBS(d: Vector[EstTupleBS], f: String)(implicit calcConfig: CalcConfig): Unit

    

    Alternate to estimatesToFileMult for bootstrapping data

11. def estimatesToFileMult(d: Vector[EstTuple], f: String)(implicit calcConfig: CalcConfig): Unit

    

    Writes list of mutual information estimates to file.

    Writes list of mutual information estimates to file.

    It takes the mutual information data as a list of tuples; each tuple contains: - a pair of integers specifying a pair of row, column bin sizes; - A list of tuples, each containing an MI estimate (intercept from the linear regression) and its 95% confidence interval.

    d

    List of (bin sizes, list of (MI estimate, confidence interval), optional weight)

    f

    Name of the file to write.

12. def finalize(): Unit

    

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13. final def getClass(): Class[_]

    

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14. def hashCode(): Int

    

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15. def importData(f: String): Vector[Vector[Double]]

    

    Loads a 2D data table from a file as a matrix of Doubles.

    Loads a 2D data table from a file as a matrix of Doubles.

    Each line of the file is expected to contain a whitespace-separated list of numbers that can be cast as Doubles. Used as a helper function for loading dose-response datasets (by loadList).

    f

    Name of file to load.

    returns

    The data, as a matrix of doubles.

16. def importParameters(f: Option[String]): List[Pair[String]]

    

    Loads parameters from a file, or returns an empty list if no file is given.

    Loads parameters from a file, or returns an empty list if no file is given.

    The parameters should be contained in a text file with each name/value pair on its own line, separated by a tab character.

    f

    Name of file to load, or None.

    returns

    List of tuples containing parameter name/value pairs.

17. final def isInstanceOf[T0]: Boolean

    

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18. def loadList(f: String)(implicit calcConfig: CalcConfig): DRData

    

    Loads arbitrary numbers of columns into 2D vector

    Loads arbitrary numbers of columns into 2D vector

    Currently, the remainder of the program can only handle 4 columns or fewer correctly

    f

    Name of file to load.

    returns

    2D vector of data from file

19. final def ne(arg0: AnyRef): Boolean

    

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20. final def notify(): Unit

    

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21. final def notifyAll(): Unit

    

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22. def optInfoToFile(c: Map[String, Pair[Double]], s: String): Unit

    

    Writes relevant estimate information to file

    Writes relevant estimate information to file

    c

    Map of value names and their estimate and error

    s

    file name

23. def optInfoToFileBS(c: Map[String, (Double, Pair[Double])], s: String): Unit

    

    Alternate to optInfoToFile for bootstrapped data

24. def pairToFile(l: DRData, f: String): Unit

    

    Writes data to a whitespace-separated file.

    Writes data to a whitespace-separated file.

    In the event of multiple signals or responses per data point, values are separated by single spaces and signal/response data is separated by tabs

    l

    The list of pairs to write.

    f

    Name of the file to write.

25. def regDataToFile(d: (Seq[Double], Seq[Double]), f: String): Unit

    

    Writes mutual information regression data to a file.

    Writes mutual information regression data to a file.

    Can be useful for debugging. The tuple d given as an argument contains three entries: - the list of inverse sample sizes - the list of mutual information values

    d

    (inverse sample sizes, MI list)

    f

    Name of the file to write.

26. final def synchronized[T0](arg0: ⇒ T0): T0

    

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27. def toString(): String

    

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28. final def wait(): Unit

    

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

    

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30. final def wait(arg0: Long): Unit

    

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