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        <dc:date>2009-11-20T07:05:01+01:00</dc:date>
        <dc:creator>Dario Solari (dario.solari@gmail.com)</dc:creator>
        <title>rugs:r_user_groups</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=rugs:r_user_groups&amp;amp;do=diff1258697101</link>
        <description> A number of R user groups have been formed. This page is intended to assist interested R users to find groups or communicate their activities.  By country alphabetically, then alphabetic order of location please!   AUSTRALIA   Canberra R Users Group...</description>
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        <dc:date>2009-11-19T10:07:44+01:00</dc:date>
        <dc:creator>Hans-Jörg Bibiko (bibiko@eva.mpg.de)</dc:creator>
        <title>tips:data-strings:ngrep - created</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=tips:data-strings:ngrep&amp;amp;do=diff1258621664</link>
        <description> From Hans-Jörg Bibiko - bibiko at eva.mpg.de  It is often the case that one wants to know the number of matches of a given regular expression in a string or vector of strings. The first choice is to make usage of grep.  Example:  &amp;gt; vec &amp;lt;- c&amp;#4...</description>
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        <dc:date>2009-11-17T21:33:30+01:00</dc:date>
        <dc:creator>David Friedman (David.Kit.Friedman@gmail.com)</dc:creator>
        <title>start - link to additional student materials</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=start&amp;amp;do=diff1258490010</link>
        <description>   R is a free software environment for statistical computing and graphics. It runs on a wide variety of UNIX platforms, Windows and MacOS. This R Wiki is dedicated to the collaborative writing of R documentation.   For information on browsers, RSS s...</description>
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        <dc:date>2009-11-15T19:01:23+01:00</dc:date>
        <dc:creator>Stephan Wahlbrink (orcaforge@goolgemail.com)</dc:creator>
        <title>guis:guis:statet - added links to wiki pages</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=guis:guis:statet&amp;amp;do=diff1258308083</link>
        <description> &amp;ndash; Eclipse based IDE for R &amp;ndash;  StatET is an Eclipse plug-in for R developers. It provides an IDE (integrated development environment) for R, based on the Eclipse Platform, completely open-source and platform independent.  Homepage: www.wal...</description>
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        <dc:date>2009-11-15T18:52:05+01:00</dc:date>
        <dc:creator>Stephan Wahlbrink (orcaforge@goolgemail.com)</dc:creator>
        <title>guis:statet:gettingstarted - created / content by tobias</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=guis:statet:gettingstarted&amp;amp;do=diff1258307525</link>
        <description> There are nice video tutorials on the Eclipse workbench here. It is Java oriented, but the general Eclipse concepts apply equally well for StatET:  http://eclipsetutorial.sourceforge.net/workbench.html   StatET   After that you will want to configur...</description>
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        <dc:date>2009-11-15T12:59:59+01:00</dc:date>
        <dc:creator>Wouter Buytaert (wouter@paramo.be)</dc:creator>
        <title>guides:tutorials:hydrological_data_analysis:dta</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=guides:tutorials:hydrological_data_analysis:dta&amp;amp;do=diff1258286399</link>
        <description> NOTE: this page relies on functions that were added in version 0.7.0 of topmodel. If you have an older version, you should upgrade.   This is an example using the digital elevation model (DEM) supplied with the package. Load the package and the DEM:...</description>
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        <title>guis:statet:installation - Added screenshot</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=guis:statet:installation&amp;amp;do=diff1258280567</link>
        <description> You can use any Eclipse IDE packages from   http://www.eclipse.org/downloads/  for StatET. For most users the bundle &amp;lsquo;Eclipse IDE for Java Developers&amp;rsquo; is the best choice to get started. Select your platform and download the archive file ...</description>
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        <dc:creator>Stephan Wahlbrink (orcaforge@goolgemail.com)</dc:creator>
        <title>guis:guis:statet:installation - moved</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=guis:guis:statet:installation&amp;amp;do=diff1258278856</link>
        <description> moved to installation  ...</description>
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        <dc:date>2009-11-13T17:50:21+01:00</dc:date>
        <dc:creator>Ben Bolker (bolker@zoo.ufl.edu)</dc:creator>
        <title>tips:graphics-base:add_fitted</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=tips:graphics-base:add_fitted&amp;amp;do=diff1258131021</link>
        <description> (Paul Johnson pauljohn@ku.edu 2001-08-17), adapted by Ben Bolker  suppose you have: reg &amp;lt;- lm&amp;#40;y ~ x&amp;#41; plot&amp;#40;x, y&amp;#41; then do: abline&amp;#40;reg&amp;#41; More generally, you can do this with predict(), which will work for non-linear and genera...</description>
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        <dc:date>2009-11-09T10:16:23+01:00</dc:date>
        <dc:creator>Wouter Buytaert (wouter@paramo.be)</dc:creator>
        <title>guides:tutorials:hydrological_data_analysis:topidx</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=guides:tutorials:hydrological_data_analysis:topidx&amp;amp;do=diff1257758183</link>
        <description> Some GIS programs can calculate the topographic index, but the Topmodel-package provides a function too. If you use the R function, you should delineate your catchment in your preferred GIS application and export a DEM of your catchment as a text fi...</description>
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        <description> This package fits shared parameter models for the joint modelling of normal longitudinal responses and event times under a maximum likelihood approach. Various options for the survival model and optimization/integration algorithms are provided.   De...</description>
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        <dc:creator>Wouter Buytaert (wouter@paramo.be)</dc:creator>
        <title>guides:tutorials:hydrological_data_analysis:baseflow_separation</title>
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        <description> Chapman (1999) gives an nice overview of baseflow separation techniques. Recursive digital filters are easiest to automate. Below are a few R implementations of the filter equations listed in the paper.  NOTE: this is work in progress - the scripts ...</description>
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        <dc:creator>Wouter Buytaert (wouter@paramo.be)</dc:creator>
        <title>guides:tutorials:hydrological_data_analysis:miscellaneous_data_import</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=guides:tutorials:hydrological_data_analysis:miscellaneous_data_import&amp;amp;do=diff1256569740</link>
        <description> This example is primarily intended to be used with the topmodel() function. However, it can be useful for other analysis such as base flow separation.  In the example, all input files are supposed to be plain text (.txt) files. (Each decent spreadsh...</description>
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        <dc:creator>Wouter Buytaert (wouter@paramo.be)</dc:creator>
        <title>packages:cran:topmodel</title>
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        <description> Topmodel is a conceptual semi-distributed model developed for shallow, mountainous catchments. Despite being about 30 years old, it is still widely used. It is highly recommended to study the theory behind the model before applying it in any hydrolo...</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2009-10-26T15:07:04+01:00</dc:date>
        <dc:creator>Matthew Salganik (mjs3@princeton.edu)</dc:creator>
        <title>rdoc:base:ls</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=rdoc:base:ls&amp;amp;do=diff1256566024</link>
        <description> A way to get the class of all objects with ls: http://tolstoy.newcastle.edu.au/R/e4/help/08/03/6917.html  A way to get the sizes of all objects with ls: https://stat.ethz.ch/pipermail/r-help/2009-January/184766.html  ...</description>
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        <dc:date>2009-10-21T04:15:19+01:00</dc:date>
        <dc:creator>Ben Bolker (bolker@zoo.ufl.edu)</dc:creator>
        <title>tips:data-factors:factors - add bits to factor tips: reference R Inferno</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=tips:data-factors:factors&amp;amp;do=diff1256091319</link>
        <description> Factors are R&amp;rsquo;s data type for storing categorical variables; they are typically unordered but can be ordered too. Factors are stored as a character vector of unique levels and a numeric vector of indices. For instance:  &amp;gt; x &amp;lt;- factor&amp;#40...</description>
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        <dc:date>2009-10-15T19:29:18+01:00</dc:date>
        <dc:creator>Bernd Bischl (bernd.bischl@uni-dortmund.de)</dc:creator>
        <title>tips:data-matrices:convert_table_to_matrix</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=tips:data-matrices:convert_table_to_matrix&amp;amp;do=diff1255627758</link>
        <description> From Hans-Jörg Bibiko  Given the following data frame df:       df       id  feature  value      A  2  4      B  4  8      A  3  1      D  1  7      B  2  5     Two columns of df representing row and column of m and the remained column of df the cel...</description>
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        <dc:date>2009-10-15T00:36:08+01:00</dc:date>
        <dc:creator>Steven Hong (stho@manning.com)</dc:creator>
        <title>books:progr - Added R in Action</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=books:progr&amp;amp;do=diff1255559768</link>
        <description> See the howto page for quick instructions how to add a book related to to this list.  [2010, book| url]Kabacoff, R. (2010). R in Action Manning.  R in Action is the first book to present both the R system and the use cases that make it such a compel...</description>
    </item>
    <item rdf:about="http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:ltm&amp;amp;do=diff1255424140">
        <dc:format>text/html</dc:format>
        <dc:date>2009-10-13T10:55:40+01:00</dc:date>
        <dc:creator>Dimitris Rizopoulos (dimitris.rizopoulos@med.kuleuven.be)</dc:creator>
        <title>packages:cran:ltm</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=packages:cran:ltm&amp;amp;do=diff1255424140</link>
        <description> This package provides a flexible framework for Item Response Theory analyses for dichotomous and polytomous data under a Marginal Maximum Likelihood approach. The fitting algorithms provide valid inferences under Missing At Random missing data mecha...</description>
    </item>
    <item rdf:about="http://wiki.r-project.org/rwiki/doku.php?id=sqldf&amp;amp;do=diff1255416755">
        <dc:format>text/html</dc:format>
        <dc:date>2009-10-13T08:52:35+01:00</dc:date>
        <dc:creator>Jan Sunde (jan.sunde@gmail.com)</dc:creator>
        <title>sqldf - created</title>
        <link>http://wiki.r-project.org/rwiki/doku.php?id=sqldf&amp;amp;do=diff1255416755</link>
        <description> sqldf() can be used as an alternative to() or merge(), which are &amp;ldquo;standard&amp;rdquo; procedures  ...</description>
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