getSSQsweep: ANOVA Sum of Squares via Sweeping

In VCA: Variance Component Analysis

ANOVA Sum of Squares via Sweeping

Description

Compute ANOVA Type-1 sum of squares for linear models.

Usage

getSSQsweep(Data, tobj, random = NULL)

Arguments

Data	(data.frame) with the data
tobj	(terms) object derived from original formula object
random	(character) vector, optionally containing information about each model term, whether it is random or fixed (only used in mixed models)

Details

This function performs estimation of ANOVA Type-1 sum of squares using the SWEEP-operator (see reference), operating on the augmented matrix X'X, where X represents the design matrix not differentiating between fixed and random factors. See the numerical example in Fsweep exemplifying the type of augmentation of X'X on which sweeping is carried out.

This is an utility function not intended to be called directly. For each term in the formula the design-matrix Z is constructed. Matrix X corresponds to binding all these Z-matrices together column-wise.

Degrees of freedom for each term are determined by subtracting the number of linearly dependent columns from the total number of column in X asigned to a specific term.

Value

(list) representing the with variables:

• aov.tabbasic ANOVA-table with degrees of freedom (DF), SS and MS

• Lmat(list) with components 'Z' and 'A'

Author(s)

Andre Schuetzenmeister [e-mail], Florian Dufey [e-mail]

References

Goodnight, J.H., (1979), A Tutorial on the SWEEP Operator, The American Statistician, 33:3, p.149-158

See Also

Fsweep

Examples

## Not run: 
data(dataEP05A2_1)
res <- VCA:::getSSQsweep(dataEP05A2_1, terms(y~day/run))
str(res)

## End(Not run)

VCA documentation built on Sept. 7, 2022, 5:07 p.m.