public class WilcoxonSignedRankTest extends Object
Constructor and Description 

WilcoxonSignedRankTest()
Create a test instance where NaN's are left in place and ties get
the average of applicable ranks.

WilcoxonSignedRankTest(NaNStrategy nanStrategy,
TiesStrategy tiesStrategy)
Create a test instance using the given strategies for NaN's and ties.

Modifier and Type  Method and Description 

double 
wilcoxonSignedRank(double[] x,
double[] y)
Computes the
Wilcoxon signed ranked statistic comparing mean for two related
samples or repeated measurements on a single sample.

double 
wilcoxonSignedRankTest(double[] x,
double[] y,
boolean exactPValue)
Returns the observed significance level, or
pvalue, associated with a
Wilcoxon signed ranked statistic comparing mean for two related
samples or repeated measurements on a single sample.

public WilcoxonSignedRankTest()
public WilcoxonSignedRankTest(NaNStrategy nanStrategy, TiesStrategy tiesStrategy)
nanStrategy
 specifies the strategy that should be used for Double.NaN'stiesStrategy
 specifies the strategy that should be used for tiespublic double wilcoxonSignedRank(double[] x, double[] y) throws NullArgumentException, NoDataException, DimensionMismatchException
This statistic can be used to perform a Wilcoxon signed ranked test evaluating the null hypothesis that the two related samples or repeated measurements on a single sample has equal mean.
Let X_{i} denote the i'th individual of the first sample and Y_{i} the related i'th individual in the second sample. Let Z_{i} = Y_{i}  X_{i}.
Preconditions:
x
 the first sampley
 the second sampleNullArgumentException
 if x
or y
are null
.NoDataException
 if x
or y
are zerolength.DimensionMismatchException
 if x
and y
do not
have the same length.public double wilcoxonSignedRankTest(double[] x, double[] y, boolean exactPValue) throws NullArgumentException, NoDataException, DimensionMismatchException, NumberIsTooLargeException, ConvergenceException, MaxCountExceededException
Let X_{i} denote the i'th individual of the first sample and Y_{i} the related i'th individual in the second sample. Let Z_{i} = Y_{i}  X_{i}.
Preconditions:
x
 the first sampley
 the second sampleexactPValue
 if the exact pvalue is wanted (only works for x.length <= 30,
if true and x.length > 30, this is ignored because
calculations may take too long)NullArgumentException
 if x
or y
are null
.NoDataException
 if x
or y
are zerolength.DimensionMismatchException
 if x
and y
do not
have the same length.NumberIsTooLargeException
 if exactPValue
is true
and x.length
> 30ConvergenceException
 if the pvalue can not be computed due to
a convergence errorMaxCountExceededException
 if the maximum number of iterations
is exceededCopyright © 2003–2016 The Apache Software Foundation. All rights reserved.