TwoWayAnovaTypeI Constructor

public TwoWayAnovaTypeI(
	DataFrame data,
	int factorAColIndex,
	int factorBColIndex,
	int dataColIndex,
	bool fullIncrementalSumOfSquares = true
)

Public Sub New ( 
	data As DataFrame,
	factorAColIndex As Integer,
	factorBColIndex As Integer,
	dataColIndex As Integer,
	Optional fullIncrementalSumOfSquares As Boolean = true
)

public:
TwoWayAnovaTypeI(
	DataFrame^ data, 
	int factorAColIndex, 
	int factorBColIndex, 
	int dataColIndex, 
	bool fullIncrementalSumOfSquares = true
)

new : 
        data : DataFrame * 
        factorAColIndex : int * 
        factorBColIndex : int * 
        dataColIndex : int * 
        ?fullIncrementalSumOfSquares : bool 
(* Defaults:
        let _fullIncrementalSumOfSquares = defaultArg fullIncrementalSumOfSquares true
*)
-> TwoWayAnovaTypeI

Parameters

data  DataFrame

A data frame.

factorAColIndex  Int32

The index of the column for Factor A.

factorBColIndex  Int32

The index of the column for Factor B.

dataColIndex  Int32

The index of the data column. The indicated column must be numeric and cannot contain missing values.

fullIncrementalSumOfSquares  Boolean  (Optional)

If true sums of squares will be computed for each regression parameter. If false sums of squares will be computed only for each regression factor. So, if factor A has m levels and factor B has n levels and fullIncrementalSumOfSquares is true (m - 1) + (n - 1) + (m - 1)*(n - 1) sums of squares will be computed - one for each dummy regression parameter. if fullIncrementalSumOfSquares is false, only 3 sums of squares will be computed - one for factor A, one for factor B, and one for the interaction.

Reference