r-janitor: created new package (#6313)

var/spack/repos/builtin/packages/r-janitor/package.py

@@ -0,0 +1,49 @@
+##############################################################################
+# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
+# Produced at the Lawrence Livermore National Laboratory.
+#
+# This file is part of Spack.
+# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
+# LLNL-CODE-647188
+#
+# For details, see https://github.com/spack/spack
+# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License (as
+# published by the Free Software Foundation) version 2.1, February 1999.
+#
+# This program is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
+# conditions of the GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with this program; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+##############################################################################
+from spack import *
+
+
+class RJanitor(RPackage):
+    """The main janitor functions can: perfectly format data.frame column
+       names; provide quick one- and two-variable tabulations (i.e., frequency
+       tables and crosstabs); and isolate duplicate records. Other janitor
+       functions nicely format the tabulation results. These
+       tabulate-and-report functions approximate popular features of SPSS and
+       Microsoft Excel. This package follows the principles of the "tidyverse"
+       and works well with the pipe function %>%. janitor was built with
+       beginning-to-intermediate R users in mind and is optimized for
+       user-friendliness. Advanced R users can already do everything covered
+       here, but with janitor they can do it faster and save their thinking
+       for the fun stuff."""
+
+    homepage = "https://github.com/sfirke/janitor"
+    url      = "https://cran.r-project.org/src/contrib/janitor_0.3.0.tar.gz"
+    list_url = "https://cran.r-project.org/src/contrib/Archive/janitor"
+
+    version('0.3.0', '76036c54693b91aef19d468107ae066a')
+
+    depends_on('r-dplyr', type=('build', 'run'))
+    depends_on('r-tidyr', type=('build', 'run'))
+    depends_on('r-magrittr', type=('build', 'run'))