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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 0.65-10, 1999/11/09
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Version 0.65-11, 1999/11/10
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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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which carry identical material, consisting of the R distribution(s), the
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which carry identical material, consisting of the R distribution(s), the
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contributed extensions, documentation for R, and binaries.
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contributed extensions, documentation for R, and binaries.
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   The CRAN master site can be found at the URL
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   The CRAN master site can be found at the URL
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     `http://cran.r-project.org/'                   (Austria)
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     `http://cran.r-project.org/'                (Austria)
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(which is the same as `http://cran.at.r-project.org/') and is currently
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and is currently being mirrored daily at
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being mirrored daily at
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     `http://mirror.aarnet.edu.au/CRAN/'            (Australia)
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     `http://SunSITE.auc.dk/R/'                     (Denmark)
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     `http://cran.dk.r-project.org/'             (Denmark)
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     `http://www.stat.unipg.it/pub/stat/statlib/R/CRAN/'(Italy)
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     `ftp://ftp.u-aizu.ac.jp/pub/lang/R/CRAN/'      (Japan)
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     `ftp://dola.snu.ac.kr/pub/R/CRAN/'             (South Korea)
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     `http://cran.it.r-project.org/'             (Italy)
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     `http://stat.ethz.ch/CRAN/'                    (Switzerland)
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     `http://cran.ch.r-project.org/'             (Switzerland)
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     `http://www.stats.bris.ac.uk/R/'               (United Kingdom)
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     `http://cran.uk.r-project.org/'             (United Kingdom)
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     `http://lib.stat.cmu.edu/R/CRAN/'              (USA/Pennsylvania)
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     `http://cran.stat.wisc.edu/'                   (USA/Wisconsin)
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     `http://cran.us.r-project.org/'             (USA/Wisconsin)
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Please use the CRAN site closest to you to reduce network load.
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Please use the CRAN site closest to you to reduce network load.
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   From CRAN, you can obtain the latest official release of R, daily
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   From CRAN, you can obtain the latest official release of R, daily
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snapshots of R for Unix systems (copy of the current CVS tree), as gzipped
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snapshots of R (copies of the current CVS trees), as gzipped and bzipped
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and bzipped tar files or as two gzipped tar files (ready for 1.4M
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tar files or as two gzipped tar files (ready for 1.4M floppies), a wealth
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floppies), a wealth of additional contributed code, as well as prebuilt
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of additional contributed code, as well as prebuilt binaries for various
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binaries for various operating systems (Linux, Nextstep, MacOS, MSWin) and
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operating systems (Linux, Nextstep, MacOS, MSWin) and pre-formatted help
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pre-formatted help pages.  CRAN also provides access to documentation on R,
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pages.  CRAN also provides access to documentation on R, existing mailing
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existing mailing lists and the R Bug Tracking system.
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lists and the R Bug Tracking system.
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   To "submit" to CRAN, simply upload to
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   To "submit" to CRAN, simply upload to
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`ftp://cran.r-project.org/incoming' and send an email to
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`ftp://cran.r-project.org/incoming' and send an email to
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<wwwadmin@cran.r-project.org>.
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<wwwadmin@cran.r-project.org>.
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   Jim Lindsey <jlindsey@luc.ac.be> has written a collection of R packages
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   Jim Lindsey <jlindsey@luc.ac.be> has written a collection of R packages
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for nonlinear regression and repeated measurements, consisting of *event*
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for nonlinear regression and repeated measurements, consisting of *event*
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(procedures for event history analysis), *gnlm* (generalized nonlinear
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(procedures for event history analysis), *gnlm* (generalized nonlinear
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regression models), *growth* (normal theory repeated measurements models),
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regression models), *growth* (normal theory repeated measurements models),
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*repeated* (models for non-normal repeated measurements.), and *rmutil*
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*repeated* (models for non-normal repeated measurements.), and *rmutil*
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(tools for repeated measurements).  Jim's packages can be obtained via
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(tools for repeated measurements).  Jim's packages were used for all
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analyses in the new edition of his book "Models for Repeated Measurements"
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(1999, Oxford University Press), and can be obtained from
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`http://www.luc.ac.be/~jlindsey/rcode.html'.
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`http://www.luc.ac.be/~jlindsey/rcode.html'.
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   Paul Gilbert <pgilbert@bank-banque-canada.ca> has written the Dynamic
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   Paul Gilbert <pgilbert@bank-banque-canada.ca> has written the Dynamic
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Systems Estimation (DSE) Library, a multivariate time series package which
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Systems Estimation (DSE) Library, a multivariate time series package which
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implements an object oriented approach to time series models (using classes
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implements an object oriented approach to time series models (using classes
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and methods in R/S).  The package provides state-space models and the
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and methods in R/S).  The package provides state-space models and the
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Kalman filter, VARMA and cointegration models, and numerical
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Kalman filter, VARMA and cointegration models, and numerical
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differentiation.  It also contains Troll models as another class (the Troll
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differentiation.  It also contains Troll models as another class (the Troll
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interface is not yet functional in R).  Paul's package *dse* can be
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interface is not yet functional in R).  Paul's package *dse* can be
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obtained from `http://www.bank-banque-canada.ca/pgilbert/dsedesc.htm'.
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obtained via `http://www.bank-banque-canada.ca/pgilbert/dsedesc.htm'.
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   More code has been posted to the r-help mailing list, and can be
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   More code has been posted to the r-help mailing list, and can be
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obtained from the mailing list archive.
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obtained from the mailing list archive.
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5.2 How can add-on packages be installed?
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5.2 How can add-on packages be installed?
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   This produces something like
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   This produces something like
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     Packages in `/home/me/lib/R':
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     Packages in `/home/me/lib/R':
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     mystuff      My own R functions, nicely packaged and not documented
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     mystuff      My own R functions, nicely packaged but not documented
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     Packages in `/usr/local/lib/R/library':
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     Packages in `/usr/local/lib/R/library':
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     MASS         Main package of Venables and Ripley's MASS
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     MASS         Main package of Venables and Ripley's MASS
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     base         The R base package
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     base         The R base package
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     nls          Nonlinear regression
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     nls          Nonlinear regression
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     nnet         Software for feed-forward neural networks with a single
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     nnet         Software for feed-forward neural networks with a single
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                  hidden layer and for multinomial log-linear models.
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                  hidden layer and for multinomial log-linear models.
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     splines      Regression spline functions and classes
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     splines      Regression spline functions and classes
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     stepfun      Step functions, including empirical distributions
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     stepfun      Step functions, including empirical distributions
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     survival5    Survival analysis [needs library(splines)]
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     survival5    Survival analysis
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     ts           Time series functions
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     ts           Time series functions
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   You can "load" the installed package PKG by
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   You can "load" the installed package PKG by
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     library(PKG)
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     library(PKG)