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R FAQ
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R FAQ
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Frequently Asked Questions on R
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Frequently Asked Questions on R
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Version 0.65-12, 1999/11/15
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Version 0.90-1, 1999/11/16
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Kurt Hornik
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Kurt Hornik
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Table of Contents
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Table of Contents
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*****************
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*****************
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   If you know about other platforms, please drop us a note.
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   If you know about other platforms, please drop us a note.
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2.3 What is the current version of R?
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2.3 What is the current version of R?
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=====================================
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=====================================
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   The current stable Unix/Windows version is 0.65.1, the unstable one is
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   The current stable Unix/Windows version is 0.90.0, the unstable one is
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0.90.0.  Typically, new features are introduced in the development
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0.99.0.  Typically, new features are introduced in the development
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versions; updates of stable versions are for bug fixes mostly.  The version
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versions; updates of stable versions are for bug fixes mostly.  The version
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for the Mac is pre-alpha.
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for the Mac is pre-alpha.
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2.4 How can R be obtained?
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2.4 How can R be obtained?
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==========================
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==========================
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*mva*
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*mva*
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     MultiVariate Analysis.  Currently contains code for principal
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     MultiVariate Analysis.  Currently contains code for principal
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     components, canonical correlations, metric multidimensional scaling,
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     components, canonical correlations, metric multidimensional scaling,
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     and hierarchical and k-means clustering.
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     and hierarchical and k-means clustering.
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*nls*
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     Nonlinear regression routines.
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*splines*
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     Regression spline functions and classes.
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*stepfun*
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*stepfun*
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     Code for dealing with step functions, including empirical cumulative
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     Code for dealing with step functions, including empirical cumulative
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     distribution functions.
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     distribution functions.
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*ts*
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*ts*
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*multiv*
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*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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*nls*
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     Nonlinear regression routines for R.
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*nnet*
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*nnet*
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     Software for single hidden layer perceptrons ("feed-forward neural
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     Software for single hidden layer perceptrons ("feed-forward neural
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     networks"), and for multinomial log-linear models.  Contained in `VR'.
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     networks"), and for multinomial log-linear models.  Contained in `VR'.
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*norm*
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*norm*
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*spatial*
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*spatial*
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     Functions for kriging and point pattern analysis from "Modern Applied
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     Functions for kriging and point pattern analysis from "Modern Applied
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     Statistics with S-PLUS" by W. Venables and B. Ripley.  Contained in
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     Statistics with S-PLUS" by W. Venables and B. Ripley.  Contained in
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     `VR'.
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     `VR'.
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*splines*
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     Functions and classes for defining B-spline representations or
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     polynomial spline representations of regression splines or
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     interpolation splines.
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*stable*
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*stable*
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     Density, distribution, quantile and hazard functions of a stable
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     Density, distribution, quantile and hazard functions of a stable
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     variate; generalized linear models for the parameters of a stable
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     variate; generalized linear models for the parameters of a stable
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     distribution.
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     distribution.
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