# SSD

0th

Percentile

##### SSD Matrix and Estimated Variance Matrix in Multivariate Models

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

Keywords
multivariate, 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 a list of class "SSD" containing the following 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.

mauchly.test, anova.mlm
library(stats) # NOT RUN { # 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) # }