- Add new port: www/R-cran-shiny
Shiny makes it super simple for R users like you to turn analyses into interactive web applications that anyone can use. Let your users choose input parameters using friendly controls like sliders, drop-downs, and text fields. Easily incorporate any number of outputs like plots, tables, and summaries. No HTML or JavaScript knowledge is necessary. If you have some experience with R, youre just minutes away from combining the statistical power of R with the simplicity of a web page. WWW: http://www.rstudio.com/shiny/
This commit is contained in:
parent
622a88ad82
commit
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Notes:
svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=318205
4 changed files with 37 additions and 0 deletions
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@ -8,6 +8,7 @@
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SUBDIR += R-cran-Rpad
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SUBDIR += R-cran-httpuv
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SUBDIR += R-cran-scrapeR
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SUBDIR += R-cran-shiny
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SUBDIR += WebMagick
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SUBDIR += abyssws
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SUBDIR += ach
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23
www/R-cran-shiny/Makefile
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www/R-cran-shiny/Makefile
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# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
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# $FreeBSD$
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PORTNAME= shiny
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PORTVERSION= 0.5.0
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CATEGORIES= www
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DISTNAME= ${PORTNAME}_${PORTVERSION}
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MAINTAINER= tota@FreeBSD.org
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COMMENT= Web Application Framework for R
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LICENSE= GPLv3
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RUN_DEPENDS= R-cran-httpuv>=1.0.5:${PORTSDIR}/www/R-cran-httpuv \
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R-cran-caTools>0:${PORTSDIR}/devel/R-cran-caTools \
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R-cran-RJSONIO>0:${PORTSDIR}/converters/R-cran-RJSONIO \
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R-cran-xtable>0:${PORTSDIR}/converters/R-cran-xtable \
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R-cran-digest>0:${PORTSDIR}/security/R-cran-digest
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USE_R_MOD= yes
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R_MOD_AUTOPLIST= yes
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.include <bsd.port.mk>
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www/R-cran-shiny/distinfo
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www/R-cran-shiny/distinfo
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SHA256 (shiny_0.5.0.tar.gz) = 9c06ae2615495fd02bdac777a85237ceeeeef3959a290db0d246862a65fe5efd
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SIZE (shiny_0.5.0.tar.gz) = 284546
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www/R-cran-shiny/pkg-descr
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www/R-cran-shiny/pkg-descr
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Shiny makes it super simple for R users like you to turn analyses
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into interactive web applications that anyone can use. Let your
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users choose input parameters using friendly controls like sliders,
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drop-downs, and text fields. Easily incorporate any number of outputs
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like plots, tables, and summaries.
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No HTML or JavaScript knowledge is necessary. If you have some
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experience with R, youre just minutes away from combining the
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statistical power of R with the simplicity of a web page.
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WWW: http://www.rstudio.com/shiny/
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