factanal.fit.principal

multivariate

Statistical analysis methods for environmental data are implemented. There is a particular focus on robust methods, and on methods for compositional data. In addition, larger data sets from geochemistry are provided. The statistical methods are described in Reimann, Filzmoser, Garrett, Dutter (2008, ISBN:978-0-470-98581-6).

Peter Filzmoser

StatDA

Statistical Analysis for Environmental Data

factanal.fit.principal function

<dl> <dt>cmat</dt>
<dd>provided correlation matrix</dd> <dt>factors</dt>
<dd>number of factors</dd> <dt>p</dt>
<dd>number of observations</dd> <dt>start</dt>
<dd>vector of start values</dd> <dt>iter.max</dt>
<dd>maximum number of iteration used to calculate the common factor</dd> <dt>unique.tol</dt>
<dd>the tolerance for a deviation of the maximum (in each row, without the diag) value of the given correlation matrix to the new calculated value</dd></dl>

Arguments

Peter Filzmoser &lt;<a href="/link/P.Filzmoser%40tuwien.ac.at?package=StatDA&version=1.7.11" data-mini-rdoc="StatDA::P.Filzmoser@tuwien.ac.at">P.Filzmoser@tuwien.ac.at</a>&gt;
<a href="http://cstat.tuwien.ac.at/filz/">http://cstat.tuwien.ac.at/filz/</a>

Author

Fit a Factor Analysis — factanal.fit.principal

<dl>

 <dt>cmat</dt>
<dd>provided correlation matrix</dd>

 <dt>factors</dt>
<dd>number of factors</dd>

 <dt>p</dt>
<dd>number of observations</dd>

 <dt>start</dt>
<dd>vector of start values</dd>

 <dt>iter.max</dt>
<dd>maximum number of iteration used to calculate the common factor</dd>

 <dt>unique.tol</dt>
<dd>the tolerance for a deviation of the maximum (in each row, without the diag) value of the given correlation matrix to the new calculated value</dd>

</dl>

Peter Filzmoser &lt;<a href='mailto:P.Filzmoser@tuwien.ac.at'>P.Filzmoser@tuwien.ac.at</a>&gt;
<a href='http://cstat.tuwien.ac.at/filz/'>http://cstat.tuwien.ac.at/filz/</a>

factanal.fit.principal: Fit a Factor Analysis

Description

Usage

Value

Arguments

Author

References