R: Factor analytic initial values

fa.init {asreml} | R Documentation

## Factor analytic initial values

### Description

Obtains initial parameter values for factor analytic models from the observed variance-covariance matrix.

### Usage

    fa.init(data, model, scale = 1, core_version = NULL)

### Arguments

`data` | A data frame containing the response and the base factors in the factor analytic (compound) model term.
`model` | A two-sided formula with the response on the left and a first order interaction with a factor analytic model term on the right. Valid factor analytic model functions are `"sfa"`, `"facv"`, `"fa"` or `"rr"` with an optional argument `k` specifying the order of the factor analytic model.
`scale` | Scales the variance-covariance matrix prior to calculating the parameter estimates (default = `1.0`).
`core_version` | The version of the algorithmic core to use, not usually required.

### Value

A numeric vector of specific variances followed by the loadings if the factor analytic function is `"fa"` or `"rr"`, otherwise a numeric vector of loadings followed by the specific variances.

### Examples

    ## Not run:
    init <- fa.init(data, fa(site,2):variety)

    ## End(Not run)

[Package asreml version 4.2.0.480 Index]