Package com.imsl.stat

Class TableMultiWay.BalancedTable

java.lang.Object
com.imsl.stat.TableMultiWay.BalancedTable
Enclosing class:
TableMultiWay
public class TableMultiWay.BalancedTable extends Object
Tallies the number of unique values of each variable.

  • Method Summary

    Modifier and Type
    Method
    Description
    int[]
    getNvalues()
    Returns an array of length nKeys containing in its i-th element (i=0,1,...nKeys-1), the number of levels or categories of the i-th classification variable (column).
    double[]
    getTable()
    Returns an array containing the frequencies for each variable.
    double[]
    getValues()
    Returns the values of the classification variables.

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Method Details

    • getNvalues

      public int[] getNvalues()
      Returns an array of length nKeys containing in its i-th element (i=0,1,...nKeys-1), the number of levels or categories of the i-th classification variable (column).
      Returns:
      an int array containing the number of levels or for each variable (column) in x.

    • getTable

      public double[] getTable()

      Returns an array containing the frequencies for each variable. The array is of length nValues[0] x nValues[1] x ... x nValues[nKeys] containing the frequencies in the cells of the table to be fit, where nValues contains the result from getNValues.

      Empty cells are included in table, and each element of table is nonnegative. The cells of table are sequenced so that the first variable cycles through its nValues[0] categories one time, the second variable cycles through its nValues[1] categories nValues[0] times, the third variable cycles through its nValues[2] categories nValues[0] * nValues[1] times, etc., up to the nKeys-th variable, which cycles through its nValues[nKeys - 1] categories nValues[0] * nValues[1] * ... * nValues[nKeys - 2] times.

      Returns:
      a double array containing the frequencies for each variable in x.

    • getValues

      public double[] getValues()
      Returns the values of the classification variables. getValues returns an array of length nValues[0] + nValues[1] + ... + nValues[nKeys - 1] The first nValues[0] elements contain the values for the first classification variable. The next nValues[1] contain the values for the second variable. The last nValues[nKeys - 1] positions contain the values for the last classification variable, where nValues contains the result from getNValues.
      Returns:
      a double array containing the values of the classification variables.