SSD
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
objectof class"mlm", or"SSD"in the case ofestVar.- ...
- Unused
Value
- SSD
- The residual sums of squares and products matrix
- df
- Degrees of freedom
- call
- Copied from
object
SSD() returns a list of class "SSD" containing the
following components
estVar returns a matrix with the estimated variances and
covariances.
See Also
Examples
library(stats)
# 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)
Community examples
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