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

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Convert statistical analysis objects from R into tidy data frames,
  so that they can more easily be combined, reshaped and otherwise
  processed with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package
  provides three S3 generics: tidy, which summarizes a model's
  statistical findings such as coefficients of a regression; augment,
  which adds columns to the original data such as predictions, residuals
  and cluster assignments; and glance, which provides a one-row summary
  of model-level statistics.

  WWW: https://cran.r-project.org/web/packages/broom/
This commit is contained in:
TAKATSU Tomonari 2018-03-14 04:58:09 +00:00
parent d7abd2cd4e
commit 4fc332f0e2
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=464456
4 changed files with 39 additions and 0 deletions
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1
devel/Makefile
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@ -20,6 +20,7 @@
SUBDIR += R-cran-bit
SUBDIR += R-cran-bit64
SUBDIR += R-cran-bitops
SUBDIR += R-cran-broom
SUBDIR += R-cran-caTools
SUBDIR += R-cran-caret
SUBDIR += R-cran-chron

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devel/R-cran-broom/Makefile Normal file
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@ -0,0 +1,25 @@
# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$
PORTNAME= broom
DISTVERSION= 0.4.3
CATEGORIES= devel
DISTNAME= ${PORTNAME}_${DISTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Convert Statistical Analysis Objects into Tidy Data Frames
LICENSE= MIT
CRAN_DEPENDS= R-cran-plyr>0:devel/R-cran-plyr \
R-cran-dplyr>0:math/R-cran-dplyr \
R-cran-tidyr>0:devel/R-cran-tidyr \
R-cran-psych>0:math/R-cran-psych \
R-cran-stringr>0:textproc/R-cran-stringr \
R-cran-reshape2>0:devel/R-cran-reshape2
BUILD_DEPENDS= ${CRAN_DEPENDS}
RUN_DEPENDS= ${CRAN_DEPENDS}
USES= cran:auto-plist
.include <bsd.port.mk>

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devel/R-cran-broom/distinfo Normal file
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TIMESTAMP = 1520499918
SHA256 (broom_0.4.3.tar.gz) = 2e261b40006432e787dc208c2a8943c6ae714968879dd3361ba1ee6ea5603785
SIZE (broom_0.4.3.tar.gz) = 1397648

10
devel/R-cran-broom/pkg-descr Normal file
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Convert statistical analysis objects from R into tidy data frames,
so that they can more easily be combined, reshaped and otherwise
processed with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package
provides three S3 generics: tidy, which summarizes a model's
statistical findings such as coefficients of a regression; augment,
which adds columns to the original data such as predictions, residuals
and cluster assignments; and glance, which provides a one-row summary
of model-level statistics.
WWW: https://cran.r-project.org/web/packages/broom/