NMath Reference Guide

## Two |

The TwoWayAnovaUnbalanced type exposes the following members.

Methods

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) | Compute the factor sums of squares. | |

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. |

See Also