SSD matrix and estimated variance matrix in multivariate models

Description

Functions to compute matrix of residual sums of squares and products, or the estimated varianve matrix for multivariate linear models.

Usage

# S3 method for class 'mlm' 
SSD(object, ...)

# S3 methods for class 'SSD' and 'mlm'
estVar(object, ...)

Arguments

Value

SSD returns an list of class "SSD" containing the followint components

estVar returns a matrix with the estimated variances and covariances.

See Also

mauchley.test, anova.mlm

Examples

# Lifted from Baron+Li:
# "Notes on the use of R for psychology experiments and questionnaires"
# Maxwell and Delaney, p. 497
reacttime <- matrix(c(
420, 420, 480, 480, 600, 780,
420, 480, 480, 360, 480, 600,
480, 480, 540, 660, 780, 780,
420, 540, 540, 480, 780, 900,
540, 660, 540, 480, 660, 720,
360, 420, 360, 360, 480, 540,
480, 480, 600, 540, 720, 840,
480, 600, 660, 540, 720, 900,
540, 600, 540, 480, 720, 780,
480, 420, 540, 540, 660, 780),
ncol = 6, byrow = TRUE, 
dimnames=list(subj=1:10,
              cond=c("deg0NA", "deg4NA", "deg8NA", 
                     "deg0NP", "deg4NP", "deg8NP"))) 

mlmfit <- lm(reacttime~1)
SSD(mlmfit)
estVar(mlmfit)