2D ANOVA takes an array of experimental observations made at various levels of two factors and performs a two-way analysis of variance. Details
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A levels contains the number of levels in factor A. The sign of A levels is set to positive if A is fixed and negative if A is random. |
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X contains all the observational data. |
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Index A contains the level of factor A to which the corresponding observation belongs. |
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Index B contains the level of factor B to which the corresponding observation belongs. |
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observations per cell is the number of observations in each cell. It is the same for all cells. |
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B levels contains the number of levels in factor B. The sign of B levels is set to positive if B is fixed and negative if B is random. |
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Info is a 4-by-4 matrix organized where the first column corresponds to the sum of squares associated with factor A, factor B, AB interaction, and residual error. The second column corresponds to the respective degrees of freedom. The third column corresponds to the respective mean squares. The fourth column corresponds to the respective F values.
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sig A is the computed level of significance associated with factor A. |
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sig B is the computed level of significance associated with factor B. |
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sig AB is the computed level of significance associated with the interaction of factors A and B. |
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error returns any error or warning condition from the VI. |
Refer to Factors, Levels, and Cells, Random and Fixed Effects, General Method, Statistical Model, Assumptions, Hypotheses, Testing The Hypotheses, and Formulas for more information.