SSD {stats} R Documentation

## SSD matrix and estimated variance matrix in multivariate models

### Description

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

### Value

`SSD` returns an list of class `"SSD"` containing the followint 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.

`mauchley.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)
```

[Package stats version 2.1.0 Index]