SSD {stats}R Documentation

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

object object of class 'mlm', or 'SSD' in the case of 'estVar'
... Unused

Value

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

SSD The residual sums of squares and products matrix
df Degrees of freedom
call Copied from object


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)

[Package stats version 2.1.0 Index]