Class RVLS.anova 
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Class RVLS.anova 

Object
   |
   +----RVLS.anova
public class anova
extends Object

Constructor Index

o RVLS.anova()
Computes one-way ANOVA statistics: SST, SSB, MSB, SSE, MSE, F, and omega squared.

Method Index

o computeRangeTest(int, int)
o getF()
o contrast(double[])
Returns t test for contrast
o getMse()
o getSst()
o getSsb()
o getDfd()
o getOmegaSquared()
o getMeans()
o setData(double[][], int, int)
specifies the data
o getSse()
o getMsb()
o setData(double[][], int[], int)
specifies the data
o setData(double[][])
specifies the data
o getDfn()

Constructors

o anova 
  public anova()
Computes one-way ANOVA statistics: SST, SSB, MSB, SSE, MSE, F, and omega squared.

Methods

o getF 
  public double getF()
o computeRangeTest 
  public double computeRangeTest(int i,
                                 int j)
o getMse 
  public double getMse()
o contrast 
  public double contrast(double[] c)
Returns t test for contrast
Parameters:
c - vector of contrast coefficients
o getSst 
  public double getSst()
o getSsb 
  public double getSsb()
o getDfd 
  public int getDfd()
o getMeans 
  public double[][] getMeans()
o getOmegaSquared 
  public double getOmegaSquared()
o setData 
  public void setData(double[][] X,
                      int _n,
                      int k)
specifies the data
Parameters:
X - Each row is the data for one group; X[0] is data for first group.
_n - Number of subjects in each group (assumes equal n)
k - Number of groups
o getSse 
  public double getSse()
o getMsb 
  public double getMsb()
o setData 
  public void setData(double[][] X,
                      int[] n,
                      int k)
specifies the data
Parameters:
X - Each row is the data for one group; X[0] is data for first group.
n[] - Number of subjects per group
k - Number of groups
o setData 
  public void setData(double[][] X)
specifies the data
Parameters:
X - Each row is the data for one group; X[0] is data for first group.
o getDfn 
  public int getDfn()

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