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</div>
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</div>
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<h2 class="unnumbered">R FAQ</h2>
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<h2 class="unnumbered">R FAQ</h2>
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<h2>Frequently Asked Questions on R</h2>
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<h2>Frequently Asked Questions on R</h2>
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<h2>Version 1.8-41, 2004-02-16</h2>
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<h2>Version 1.8-42, 2004-02-19</h2>
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<h2>ISBN 3-900051-01-1</h2>
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<h2>ISBN 3-900051-01-1</h2>
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<address>Kurt Hornik</address>
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<address>Kurt Hornik</address>
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<p><p><hr><p>
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<p><p><hr><p>
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<ul class="menu">
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<ul class="menu">
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<br><dt><strong>maxstat</strong>
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<br><dt><strong>maxstat</strong>
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     <dd>Maximally selected rank and Gauss statistics with several p-value
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     <dd>Maximally selected rank and Gauss statistics with several p-value
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approximations.
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approximations.
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<br><dt><strong>mclust</strong>
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<br><dt><strong>mclust</strong>
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     <dd>Model-based cluster analysis: the 2002 version of MCLUST.
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     <dd>Model-based cluster analysis: the 2002 version of MCLUST.
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<br><dt><strong>mclust1998</strong>
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     <dd>Model-based cluster analysis: the 1998 version of MCLUST.
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<br><dt><strong>mda</strong>
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<br><dt><strong>mda</strong>
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     <dd>Code for mixture discriminant analysis (MDA), flexible discriminant
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     <dd>Code for mixture discriminant analysis (MDA), flexible discriminant
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analysis (FDA), penalized discriminant analysis (PDA), multivariate
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analysis (FDA), penalized discriminant analysis (PDA), multivariate
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additive regression splines (MARS), adaptive back-fitting splines
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additive regression splines (MARS), adaptive back-fitting splines
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(BRUTO), and penalized regression.
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(BRUTO), and penalized regression.
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<br><dt><strong>multcomp</strong>
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<br><dt><strong>multcomp</strong>
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     <dd>Multiple comparison procedures for the one-way layout.
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     <dd>Multiple comparison procedures for the one-way layout.
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<br><dt><strong>multidim</strong>
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<br><dt><strong>multidim</strong>
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     <dd>Multidimensional descriptive statistics: factorial methods and
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     <dd>Multidimensional descriptive statistics: factorial methods and
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classification.
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classification.
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<br><dt><strong>multinomRob</strong>
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     <dd>Overdispersed multinomial regression using robust (LQD and tanh)
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estimation.
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<br><dt><strong>multiv</strong>
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<br><dt><strong>multiv</strong>
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     <dd>Functions for hierarchical clustering, partitioning, bond energy
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     <dd>Functions for hierarchical clustering, partitioning, bond energy
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algorithm, Sammon mapping, PCA and correspondence analysis.
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algorithm, Sammon mapping, PCA and correspondence analysis.
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<br><dt><strong>mvbutils</strong>
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<br><dt><strong>mvbutils</strong>
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     <dd>Utilities by Mark V. Bravington for project organization, editing and
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     <dd>Utilities by Mark V. Bravington for project organization, editing and
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<br><dt><strong>qvcalc</strong>
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<br><dt><strong>qvcalc</strong>
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     <dd>Functions to compute quasi-variances and associated measures of
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     <dd>Functions to compute quasi-variances and associated measures of
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approximation error.
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approximation error.
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<br><dt><strong>randomForest</strong>
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<br><dt><strong>randomForest</strong>
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     <dd>Breiman's random forest classifier.
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     <dd>Breiman's random forest classifier.
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<br><dt><strong>ref</strong>
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     <dd>Functions for creating references, reading from and writing ro
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references and a memory efficient refdata type that transparently
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encapsulates matrices and data frames.
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<br><dt><strong>relimp</strong>
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<br><dt><strong>relimp</strong>
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     <dd>Functions to facilitate inference on the relative importance of
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     <dd>Functions to facilitate inference on the relative importance of
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predictors in a linear or generalized linear model.
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predictors in a linear or generalized linear model.
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<br><dt><strong>rgdal</strong>
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<br><dt><strong>rgdal</strong>
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     <dd>Provides bindings to Frank Warmerdam's Geospatial Data Abstraction
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     <dd>Provides bindings to Frank Warmerdam's Geospatial Data Abstraction