SSD {stats} | R Documentation |
Functions to compute matrix of residual sums of squares and products, or the estimated variance matrix for multivariate linear models.
# S3 method for class 'mlm' SSD(object, ...) # S3 methods for class 'SSD' and 'mlm' estVar(object, ...)
object |
object of class "mlm" , or "SSD" in
the case of estVar . |
... |
Unused |
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.
# 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)