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

TwoWayAnovaUnbalanced 
Constructs a TwoWayAnovaUnbalanced.

Name  Description  

AnovaTable 
Gets the ANOVA table.
 
FactorARegressionFactorParameters 
Gets the ANOVAs for the factor A regression parameters.
 
FactorBRegressionFactorParameters 
Gets the ANOVAs for the factor B regression parameters.
 
GrandMean 
Gets the grand mean.
(Overrides TwoWayAnovaBaseGrandMean.)  
InteractionRegressionFactorParameters 
Gets the ANOVAs for the interaction regression parameters.
 
RegressionInterceptParameter 
Bets the ANOVA regression parameter object associated with the
intercept parameter.
(Overrides TwoWayAnovaBaseRegressionInterceptParameter.) 
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).
 
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)  
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.
 
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.
 
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.
 
IncrementalSumOfSquares(LinearRegression, Int32, DoubleVector, Double)  
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.
 
InitializeFactorsAndCellData 
Consumes the ANOVA data from a DataFrame.
 
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.
 
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.

Name  Description  

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