replyr: Fluid Use of Big Data in R

Methods to get a grip on working with remote data sources ('SQL' databases, 'sparklyr' 'Spark' 2.0.0 and above) 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: 0.2.5
Imports: wrapr (≥ 0.1.2), dplyr (≥ 0.5.0)
Suggests: testthat, knitr, rmarkdown, RSQLite, sparklyr, ggplot2, lazyeval, babynames, magrittr
Published: 2017-04-14
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: Bizarro Pipe
NA rm
Parametric Programming in R
coalesce
let Example
replyr
summary
Package source: replyr_0.2.5.tar.gz
Windows binaries: r-devel: replyr_0.2.5.zip, r-release: replyr_0.2.5.zip, r-oldrel: replyr_0.2.5.zip
OS X El Capitan binaries: r-release: replyr_0.2.5.tgz
OS X Mavericks binaries: r-oldrel: replyr_0.2.5.tgz
Old sources: replyr archive

Reverse dependencies:

Reverse imports: cdata, WVPlots

Linking:

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