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

  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/

devel/Makefile

@@ -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

devel/R-cran-broom/Makefile

+# 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>

devel/R-cran-broom/distinfo

+TIMESTAMP = 1520499918
+SHA256 (broom_0.4.3.tar.gz) = 2e261b40006432e787dc208c2a8943c6ae714968879dd3361ba1ee6ea5603785
+SIZE (broom_0.4.3.tar.gz) = 1397648

devel/R-cran-broom/pkg-descr

+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/