replyr: Diligent Use of Big Data for R

Methods to diligently use 'dplyr' remote data sources ('SQL' databases, 'Spark' 2.0.0 and above). Adds convenience functions to make such tasks more like working with an in-memory R 'data.frame'.

Version: 0.4.0
Imports: wrapr (≥ 0.1.2), dplyr (≥ 0.5.0), DBI, RSQLite
Suggests: testthat, knitr, rmarkdown, sparklyr, ggplot2, babynames, magrittr, RPostgreSQL
Published: 2017-06-12
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
Join Controller
let Example
replyr
summary
Package source: replyr_0.4.0.tar.gz
Windows binaries: r-devel: replyr_0.4.0.zip, r-release: replyr_0.4.0.zip, r-oldrel: replyr_0.4.0.zip
OS X El Capitan binaries: r-release: replyr_0.4.0.tgz
OS X Mavericks binaries: r-oldrel: replyr_0.4.0.tgz
Old sources: replyr archive

Reverse dependencies:

Reverse imports: WVPlots

Linking:

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