- Add new port: devel/R-cran-rgexf

Create, read and write GEXF (Graph Exchange XML Format) graph files
  (used in Gephi and others). Using the XML package, it allows the
  user to easily build/read graph files including attributes, GEXF
  viz attributes (such as color, size, and position), network dynamics
  (for both edges and nodes) and edge weighting. Users can build/handle
  graphs element-by-element or massively through data-frames, visualize
  the graph on a web browser through "sigmajs" (a javascript library)
  and interact with the igraph package.

  WWW: https://cran.r-project.org/web/packages/rgexf/
This commit is contained in:
TAKATSU Tomonari 2017-05-08 22:35:57 +00:00
parent 18d96a45bb
commit 8ee1b18a8f
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=440460
4 changed files with 36 additions and 0 deletions

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@ -45,6 +45,7 @@
SUBDIR += R-cran-registry
SUBDIR += R-cran-reshape
SUBDIR += R-cran-reshape2
SUBDIR += R-cran-rgexf
SUBDIR += R-cran-rngtools
SUBDIR += R-cran-rprojroot
SUBDIR += R-cran-rstudioapi

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@ -0,0 +1,22 @@
# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$
PORTNAME= rgexf
PORTVERSION= 0.15.3
CATEGORIES= devel
DISTNAME= ${PORTNAME}_${DISTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Build, Import and Export GEXF Graph Files
LICENSE= GPLv3
CRAN_DEPENDS= R-cran-XML>0:textproc/R-cran-XML \
R-cran-Rook>0:www/R-cran-Rook \
R-cran-igraph>0:math/R-cran-igraph
BUILD_DEPENDS= ${CRAN_DEPENDS}
RUN_DEPENDS= ${CRAN_DEPENDS}
USES= cran:auto-plist,compiles
.include <bsd.port.mk>

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TIMESTAMP = 1494149377
SHA256 (rgexf_0.15.3.tar.gz) = 2e8a7978d1fb977318e6310ba65b70a9c8890185c819a7951ac23425c6dc8147
SIZE (rgexf_0.15.3.tar.gz) = 447723

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Create, read and write GEXF (Graph Exchange XML Format) graph files
(used in Gephi and others). Using the XML package, it allows the
user to easily build/read graph files including attributes, GEXF
viz attributes (such as color, size, and position), network dynamics
(for both edges and nodes) and edge weighting. Users can build/handle
graphs element-by-element or massively through data-frames, visualize
the graph on a web browser through "sigmajs" (a javascript library)
and interact with the igraph package.
WWW: https://cran.r-project.org/web/packages/rgexf/