46 lines
2.1 KiB
Python
46 lines
2.1 KiB
Python
##############################################################################
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# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/spack/spack
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# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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class RGgdendro(RPackage):
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"""This is a set of tools for dendrograms and tree plots using
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'ggplot2'. The 'ggplot2' philosophy is to clearly separate data
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from the presentation. Unfortunately the plot method for
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dendrograms plots directly to a plot device without exposing
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the data. The 'ggdendro' package resolves this by making
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available functions that extract the dendrogram plot data.
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The package provides implementations for tree, rpart, as well
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as diana and agnes cluster diagrams."""
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homepage = "https://cran.r-project.org/package=ggdendro"
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url = "https://cran.rstudio.com/src/contrib/ggdendro_0.1-20.tar.gz"
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list_url = "https://cran.rstudio.com/src/contrib/Archive/ggdendro"
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version('0.1-20', '787552e346432c758633d8f4b2675eb6')
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depends_on('r-ggplot2', type=('build', 'run'))
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depends_on('r-mass', type=('build', 'run'))
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