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@c %**start of header
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@c %**start of header
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@setfilename R-FAQ.info
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@setfilename R-FAQ.info
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@settitle R FAQ
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@settitle R FAQ
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@setchapternewpage on
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@setchapternewpage on
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@set FAQ-YEAR 2004
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@set FAQ-YEAR 2004
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@set FAQ-VERSION 1.8-40, @value{FAQ-YEAR}-02-13
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@set FAQ-VERSION 1.8-42, @value{FAQ-YEAR}-02-19
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@set REL-VERSION 1.8.1
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@set REL-VERSION 1.8.1
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@set FAQ-ISBN 3-900051-01-1
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@set FAQ-ISBN 3-900051-01-1
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@documentlanguage en
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@documentlanguage en
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@documentencoding ISO-8859-1
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@documentencoding ISO-8859-1
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@c %**end of header
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@c %**end of header
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through the CGI interface to a web server.  It is easily installed using
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through the CGI interface to a web server.  It is easily installed using
1462
Apache under Linux and in principle should run on any platform that
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Apache under Linux and in principle should run on any platform that
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supports R and a web server provided that the installer has the
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supports R and a web server provided that the installer has the
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necessary security permissions.
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necessary security permissions.
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@strong{Rcgi} is a CGI WWW interface to R by
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@strong{Rcgi} is a CGI WWW interface to R by @email{mjr@@dsl.pipex.com,
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@email{mjr@@stats.mth.uea.ac.uk, Mark J. Ray}.  It had the ability to
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use ``embedded code'': you could mix user input and code, allowing the
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MJ Ray}.  It had the ability to use ``embedded code'': you could mix
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@HTML{} author to do anything from load in data sets to enter most of
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user input and code, allowing the @HTML{} author to do anything from
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the commands for users without writing CGI scripts.  Graphical output
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load in data sets to enter most of the commands for users without
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was possible in PostScript or GIF formats and the executed code was
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writing CGI scripts.  Graphical output was possible in PostScript or GIF
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presented to the user for revision.  However, it is not clear if the
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formats and the executed code was presented to the user for revision.
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project is still active and recent attempts to contact the author or
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However, it is not clear if the project is still active.
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find the package have failed.  
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@c URL no longer seems to work ...
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@c URL no longer seems to work ...
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@c See @uref{http://stats.mth.uea.ac.uk/Rcgi/} for more information.
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@c See @uref{http://stats.mth.uea.ac.uk/Rcgi/} for more information.
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Currently, a modified version of @strong{Rcgi} by
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Currently, a modified version of @strong{Rcgi} by
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@email{mai@@ms.uky.edu, Mai Zhou} (actually, two versions: one with
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@email{mai@@ms.uky.edu, Mai Zhou} (actually, two versions: one with
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(bitmap) graphics and one without) as well as the original code are
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(bitmap) graphics and one without) as well as the original code are
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Resonance Imaging (fMRI) datasets stored in the ANALYZE format.
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Resonance Imaging (fMRI) datasets stored in the ANALYZE format.
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@item Bhat
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@item Bhat
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Functions for general likelihood exploration (MLE, MCMC, CIs).
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Functions for general likelihood exploration (MLE, MCMC, CIs).
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@item BradleyTerry
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@item BradleyTerry
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Specify and fit the Bradley-Terry model and structured versions.
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Specify and fit the Bradley-Terry model and structured versions.
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@item BsMD
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Bayes screening and model discrimination follow-up designs.
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@item CDNmoney
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@item CDNmoney
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Components of Canadian monetary aggregates.
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Components of Canadian monetary aggregates.
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@item CGIwithR
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@item CGIwithR
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Facilities for the use of R to write CGI scripts.
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Facilities for the use of R to write CGI scripts.
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@item CircStats
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@item CircStats
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@item haplo.score
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@item haplo.score
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Score tests for association of traits with haplotypes when linkage phase
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Score tests for association of traits with haplotypes when linkage phase
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is ambiguous.
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is ambiguous.
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@item hdf5
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@item hdf5
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Interface to the @acronym{NCSA} HDF5 library.
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Interface to the @acronym{NCSA} HDF5 library.
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@item hett
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Functions for the fitting and summarizing of heteroscedastic
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t-regression.
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@item hier.part
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@item hier.part
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Hierarchical Partitioning: variance partition of a multivariate data
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Hierarchical Partitioning: variance partition of a multivariate data
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set.
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set.
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@item homals
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@item homals
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Homogeneity Analysis (HOMALS) package with optional Tcl/Tk interface.
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Homogeneity Analysis (HOMALS) package with optional Tcl/Tk interface.
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to Statistical Modeling of Extreme Values;' by S. Coles, 2001, Springer.
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to Statistical Modeling of Extreme Values;' by S. Coles, 2001, Springer.
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The functions may be divided into the following groups; maxima/minima,
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The functions may be divided into the following groups; maxima/minima,
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order statistics, peaks over thresholds and point processes.
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order statistics, peaks over thresholds and point processes.
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@item its
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@item its
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An S4 class for handling irregular time series.
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An S4 class for handling irregular time series.
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@item kernlab
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Kernel-based machine learning methods including support vector machines.
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@c <FIXME 1.9.0>
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(Currently in @file{1.9.0/Other}.)
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@c </FIXME>
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@item knnTree
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@item knnTree
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Construct or predict with @math{k}-nearest-neighbor classifiers, using
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Construct or predict with @math{k}-nearest-neighbor classifiers, using
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cross-validation to select @math{k}, choose variables (by forward or
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cross-validation to select @math{k}, choose variables (by forward or
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backwards selection), and choose scaling (from among no scaling, scaling
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backwards selection), and choose scaling (from among no scaling, scaling
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each column by its SD, or scaling each column by its MAD).  The finished
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each column by its SD, or scaling each column by its MAD).  The finished
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@item maxstat
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@item maxstat
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Maximally selected rank and Gauss statistics with several p-value
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Maximally selected rank and Gauss statistics with several p-value
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approximations.
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approximations.
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@item mclust
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@item mclust
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Model-based cluster analysis: the 2002 version of MCLUST.
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Model-based cluster analysis: the 2002 version of MCLUST.
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@c <COMMENT>
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@c Moved to Archive on 2004-02-19 as requested by the maintainer.
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@item mclust1998
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@c @item mclust1998
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Model-based cluster analysis: the 1998 version of MCLUST.
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@c Model-based cluster analysis: the 1998 version of MCLUST.
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@c </COMMENT>
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@item mda
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@item mda
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Code for mixture discriminant analysis (MDA), flexible discriminant
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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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@item multcomp
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@item multcomp
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Multiple comparison procedures for the one-way layout.
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Multiple comparison procedures for the one-way layout.
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@item multidim
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@item multidim
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Multidimensional descriptive statistics: factorial methods and
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Multidimensional descriptive statistics: factorial methods and
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classification.
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classification.
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@item multinomRob
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Overdispersed multinomial regression using robust (LQD and tanh)
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estimation.
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@item multiv
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@item multiv
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Functions for hierarchical clustering, partitioning, bond energy
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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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@item mvbutils
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@item mvbutils
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Utilities by Mark V. Bravington for project organization, editing and
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Utilities by Mark V. Bravington for project organization, editing and
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@item randomForest
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@item randomForest
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Breiman's random forest classifier.
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Breiman's random forest classifier.
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@c @item ratetables
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@c @item ratetables
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@c US national and state mortality data (requires @strong{survival4} and
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@c US national and state mortality data (requires @strong{survival4} and
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@c @strong{date}), for use with @strong{survival4}.
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@c @strong{date}), for use with @strong{survival4}.
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@item ref
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2361
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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2363
encapsulates matrices and data frames.
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@item relimp
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@item relimp
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Functions to facilitate inference on the relative importance of
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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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@item rgdal
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@item rgdal
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Provides bindings to Frank Warmerdam's Geospatial Data Abstraction 
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Provides bindings to Frank Warmerdam's Geospatial Data Abstraction