Anova Class Reference

Inheritance diagram for Anova:

StatisticTest

List of all members.

Public Types


Public Member Functions

bool addSample (const QString &colName, int aLevel=1, int bLevel=1)
 Anova (bool twoWay=false, double level=0.05)/NoDerived/
 Anova (ApplicationWindow */TransferThis/, bool twoWay=false, double level=0.05)
void enableInteractions (bool=true)
void enablePostHocTest (PostHocTest, bool=true)
void enablePostHocTestTables (bool)
double fStat ()
double fStatA ()
 F statistic for factor A.
double fStatAB ()
 F statistic for the interaction.
double fStatB ()
 F statistic for factor B.
double fStatModel ()
 F statistic for the model.
bool isPostHocTestEnabled (PostHocTest) const
virtual QString logInfo ()
double msa ()
 Mean square value for factor A.
double msab ()
 Mean square value for the interaction.
double msb ()
 Mean square value for factor B.
double mse ()
 Mean square value.
double msm ()
 Mean square value for the model.
TableposthocTestTable (PostHocTest)
double pValue ()
double pValueA ()
 P value for factor A.
double pValueAB ()
 P value for the interaction.
double pValueB ()
 P value for factor B.
double pValueModel ()
 P value for the model.
void setAnovaTwoWayModel (int)
MethodCode SIPQTI_APP (new sipAnova(app, a0, a1))%End bool run()
double ssa ()
 Sum of squares for factor A.
double ssab ()
 Sum of squares for the interaction.
double ssb ()
 Sum of squares for factor B.
double sse ()
 Sum of squares for the error.
double ssm ()
 Sum of squares for the model.
double sst ()
 Total sum of squares.
double statistic ()


Member Enumeration Documentation

Enumerator:
Tukey 
Bonferroni 
Sidak 
Fisher 
Scheffe 
HolmBonferroni 
HolmSidak 


Constructor & Destructor Documentation

Anova::Anova ( ApplicationWindow */TransferThis/  ,
bool  twoWay = false,
double  level = 0.05 
)

Anova::Anova ( bool  twoWay = false,
double  level = 0.05 
)


Member Function Documentation

bool Anova::addSample ( const QString &  colName,
int  aLevel = 1,
int  bLevel = 1 
)

void Anova::enableInteractions ( bool  = true  ) 

void Anova::enablePostHocTest ( PostHocTest  ,
bool  = true 
)

void Anova::enablePostHocTestTables ( bool   ) 

double Anova::fStat (  ) 

double Anova::fStatA (  ) 

F statistic for factor A.

double Anova::fStatAB (  ) 

F statistic for the interaction.

double Anova::fStatB (  ) 

F statistic for factor B.

double Anova::fStatModel (  ) 

F statistic for the model.

bool Anova::isPostHocTestEnabled ( PostHocTest   )  const

virtual QString Anova::logInfo (  )  [virtual]

Reimplemented from StatisticTest.

double Anova::msa (  ) 

Mean square value for factor A.

double Anova::msab (  ) 

Mean square value for the interaction.

double Anova::msb (  ) 

Mean square value for factor B.

double Anova::mse (  ) 

Mean square value.

double Anova::msm (  ) 

Mean square value for the model.

Table* Anova::posthocTestTable ( PostHocTest   ) 

double Anova::pValue (  )  [virtual]

Reimplemented from StatisticTest.

double Anova::pValueA (  ) 

P value for factor A.

double Anova::pValueAB (  ) 

P value for the interaction.

double Anova::pValueB (  ) 

P value for factor B.

double Anova::pValueModel (  ) 

P value for the model.

void Anova::setAnovaTwoWayModel ( int   ) 

MethodCode Anova::SIPQTI_APP ( new   sipAnovaapp, a0, a1  ) 

double Anova::ssa (  ) 

Sum of squares for factor A.

double Anova::ssab (  ) 

Sum of squares for the interaction.

double Anova::ssb (  ) 

Sum of squares for factor B.

double Anova::sse (  ) 

Sum of squares for the error.

double Anova::ssm (  ) 

Sum of squares for the model.

double Anova::sst (  ) 

Total sum of squares.

double Anova::statistic (  )  [virtual]

Reimplemented from StatisticTest.


The documentation for this class was generated from the following file:

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