TwoWayAnovaTypeIII Class 
Namespace: CenterSpace.NMath.Core
The TwoWayAnovaTypeIII type exposes the following members.
Name  Description  

TwoWayAnovaTypeIII 
Constructs a TwoWayAnovaTypeIII instance from data in the given data frame.

Name  Description  

AnovaTable 
Gets the ANOVA table.
(Inherited from TwoWayAnovaUnbalanced.)  
FactorARegressionFactorParameters 
Gets the ANOVAs for the factor A regression parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
FactorBRegressionFactorParameters 
Gets the ANOVAs for the factor B regression parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
GrandMean 
Gets the grand mean.
(Inherited from TwoWayAnovaUnbalanced.)  
InteractionRegressionFactorParameters 
Gets the ANOVAs for the interaction regression parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
RegressionInterceptParameter 
Bets the ANOVA regression parameter object associated with the
intercept parameter.
(Inherited from TwoWayAnovaUnbalanced.) 
Name  Description  

ComputeBalancedAnova 
Computes the ANOVA in the case that the design is acutally balanced.
This can greatly increase performance if an unbalanced ANOVA class is
used to perform an ANOVA on a data set that is in fact balanced (same
number of observations in each cell).
(Inherited from TwoWayAnovaUnbalanced.)  
ComputeFactorSumsOfSquares(DoubleMatrix) 
Fill in the DoubleVector parameterSumsOfSquares_ with the sums of
squares for the parameters used in the regression that is used to
compute the ANOVA.
(Inherited from TwoWayAnovaBase.)  
ComputeFactorSumsOfSquares(DoubleMatrix, TwoWayAnovaUnbalancedParameterOrder, TwoWayAnovaUnbalancedParameterSlices)  (Inherited from TwoWayAnovaUnbalanced.)  
ComputeFactorSumsOfSquares(LinearRegression, Int32, Int32, Int32) 
Fill in the DoubleVector parameterSumsOfSquares_ with the sums of
squares for the parameters used in the regression that is used to
compute the ANOVA.
(Inherited from TwoWayAnovaBase.)  
GetCellData 
Returns all the data in a cell, as defined by the levels of the two factors
in the ANOVA.
(Inherited from TwoWayAnovaBase.)  
GetFactorSumOfSquares 
For a given parameter order, retrives the sum of squares for the regression
parameters associated with the last factor, or interaction, in the order.
(Inherited from TwoWayAnovaUnbalanced.)  
GetMeanForCell 
Returns the mean for the specified cell, as defined by the levels of
the two factors in the ANOVA.
(Inherited from TwoWayAnovaBase.)  
GetMeanForFactorLevel 
Returns the mean for the specified factor level.
(Inherited from TwoWayAnovaBase.)  
GetOrderedRegression 
Create the ordered linear regession object for the data and given coefficient
ordering.
(Inherited from TwoWayAnovaUnbalanced.)  
GetParameterSlices 
For a give ANOVA regression factor/interaction parameter order,
computes the slices to access the columns of the regression matrix
for the factor and interaction parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
IncrementalSumOfSquares(LinearRegression, Int32, DoubleVector, Double)  (Inherited from TwoWayAnovaUnbalanced.)  
IncrementalSumOfSquares(DoubleMatrix, Int32, DoubleVector, Double, Factor, AnovaRegressionFactorParam) 
Computes the incremental sum of squares when adding numParameters
to the regression model. The columns corresponding these parameters are
assumed to be the last numParameter columns in the given regression
matrix.
(Inherited from TwoWayAnovaUnbalanced.)  
InitializeFactorsAndCellData 
Consumes the ANOVA data from a DataFrame.
(Inherited from TwoWayAnovaUnbalanced.)  
InterceptParameterSumOfSquares 
Compte the sum of squares associated with the regression's intercept parameter.
(Inherited from TwoWayAnovaBase.)  
MakeCellData 
Fills in the cell data for a two way ANOVA from the given data frame and
column information.
(Inherited from TwoWayAnovaBase.)  
MakeFactorParameters(LinearRegression, DoubleVector, Int32, Factor) 
Create the array of AnovaRegressionFactorParam objects, one for each
regression dummy variable. The sums of squares for each of these
parameters is assumed to have been computed are are stored in the
DoubleVector instance variable parameterSumsOfSquares with
the parameters for factor A first, followed by the parameters for
factor B and starting at the given index.
(Inherited from TwoWayAnovaBase.)  
MakeFactorParameters(Factor, DoubleVector, LinearRegression, Int32, Int32) 
Create the array of AnovaRegressionFactorParam objects, one for each
regression dummy variable. The sums of squares for each of these
parameters is assumed to have been computed are are stored in the
DoubleVector instance variable parameterSumsOfSquares with
the parameters for factor A first, followed by the parameters for
factor B and starting at the given index.
(Inherited from TwoWayAnovaUnbalanced.)  
MakeInteractionParameters 
Creates the array of AnovaRegressionInteractionParam objects using the
DoubleVector instance variable parameterSumsOfSquares_. The sums of
squares for the interaction parameters are assumed to begin at the
given index.
(Inherited from TwoWayAnovaBase.)  
ReorderRegressionMatrix 
For a give parameter order reorders the columns of the input regression matrix so that the
the columns corresponding to the parameters are in the order specified by the parameter order.
(Inherited from TwoWayAnovaUnbalanced.) 
Name  Description  

anovaTable_ 
The ANOVA table.
(Inherited from TwoWayAnovaUnbalanced.)  
cells_ 
The ANOVA data broken up into cells.
(Inherited from TwoWayAnovaBase.)  
factorA_ 
One of the factors in the ANOVA
(Inherited from TwoWayAnovaBase.)  
factorAparams_ 
Anovas for the factor A regression parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
factorB_ 
The other factor in the ANOVA.
(Inherited from TwoWayAnovaBase.)  
factorBparams_ 
Anovas for the factor B regression parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
grandMean_ 
The mean of all the data.
(Inherited from TwoWayAnovaUnbalanced.)  
interactionParams_ 
Anovas for the interaction regression parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
interceptParameter_ 
Intercept parameter values for the ANOVA regression.
(Inherited from TwoWayAnovaUnbalanced.)  
numFactorAparams_ 
Number of regression parameters for factor A.
(Inherited from TwoWayAnovaUnbalanced.)  
numFactorBparams_ 
Number of regression parameters for factor B.
(Inherited from TwoWayAnovaUnbalanced.)  
numInteractionParams_ 
Number of interaction regression parameters.
(Inherited from TwoWayAnovaUnbalanced.)  
observations_ 
The observation vector for the regression used to compute the ANVOA.
(Inherited from TwoWayAnovaBase.) 