setReTrm.factAnal: Random effects term for factor analysis

In stevencarlislewalker/lme4ord: Generalized Linear Mixed Models with Flexible (Co)Variance Structures

Description

Random effects term for factor analysis

Usage

## S3 method for class 'factAnal'
setReTrm(object, addArgsList, auxEnv = NULL,
  devfunEnv = NULL)

## S3 method for class 'factAnal'
scores(x, ...)

## S3 method for class 'factAnal'
biplot(x, ...)

Arguments

x	setReTrm.factAnal object
...	not used (for consistency with generic in vegan package)
object	a reTrmStruct object
addArgsList	a list of named quantities within which addArgsExpr is evaluated
auxEnv	an optional auxilliary environment containing objects that are possibly required for the setting of a random effects term structure (currently this is almost always the environment of a call to strucParseFormula, unless setReTrm is called directly)
devfunEnv	optional environment of the deviance function

Mixed model formula usage

factAnal(0 + obsFac | varFac, nAxes, seed)

obsFac:

grouping factor for multivariate observations

varFac:

grouping factor for variables

nAxes:

number of axes

seed:

random seed for initial axis values

Parameters

Covariance:

none

Loadings:

elements of the lower triangle of the variables by axes loadings matrix

See Also

Other setReTrm: cooccur, setReTrm.cooccur; expDecay, setReTrm.expDecay; findReTrmClasses, getAddArgs, ranef.reTrmStruct, setReTrm, setReTrm.default; flexvar, setReTrm.flexvar; getCorStruct, nlmeCorStruct, setReTrm.nlmeCorStruct; identity, setReTrm.identity; lme4, setReTrm.lme4; obslev, setReTrm.obslev; phyloEdge, setReTrm.phyloEdge; sem, setReTrm.sem; setReTrm.varExp, varExp; setReTrm.varIdent, varIdent

stevencarlislewalker/lme4ord documentation built on May 30, 2019, 4:43 p.m.