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
  • SSDThe residual sums of squares and products matrix
  • dfDegrees of freedom
  • callCopied from object
  • estVar returns a matrix with the estimated variances and covariances.

See Also

mauchly.test, anova.mlm

Aliases
  • SSD
  • estVar
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)
Documentation reproduced from package stats, version 3.3, License: Part of R 3.3

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