replyr: Fluid Use of 'dplyr'

Methods to get a grip on working with remote 'tbl' sources ('SQL' databases, 'Spark') through 'dplyr'. Adds convenience functions to make such tasks more like working with an in-memory 'data.frame'. Results do depend on which 'dplyr' data service you use.

Version: 0.1.0
Imports: dplyr, magrittr, tibble, lazyeval
Suggests: testthat, knitr, rmarkdown, tidyr, RSQLite, DBI, ggplot2
Published: 2016-12-09
Author: John Mount, Nina Zumel
Maintainer: John Mount <jmount at win-vector.com>
BugReports: https://github.com/WinVector/replyr/issues
License: GPL-3
URL: https://github.com/WinVector/replyr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: replyr results

Downloads:

Reference manual: replyr.pdf
Vignettes: let Example
replyr
Package source: replyr_0.1.0.tar.gz
Windows binaries: r-devel: replyr_0.1.0.zip, r-release: replyr_0.1.0.zip, r-oldrel: replyr_0.1.0.zip
OS X Mavericks binaries: r-release: replyr_0.1.0.tgz, r-oldrel: replyr_0.1.0.tgz

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