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SSD {stats}

SSD Matrix and Estimated Variance Matrix in Multivariate Models
Package: 
stats
Version: 
R 3.0.2

Description

Functions to compute matrix of residual sums of squares and products, or the estimated variance 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

Values

SSD() returns a list of class "SSD" containing the following components

estVar returns a matrix with the estimated variances and covariances.

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

See Also

mauchly.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)

Documentation reproduced from R 3.0.2. License: GPL-2.