Methods to use 'dplyr' remote data sources ('SQL' databases, 'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning user code works similarly on all such sources, without needing per-source adaption). Adds convenience functions to make such tasks more like working with an in-memory R 'data.frame'.

Maintainer: John Mount <jmount at win-vector.com>

Author(s): John Mount*, Nina Zumel*, Win-Vector LLC*

Install package and any missing dependencies by running this line in your R console:

install.packages("replyr")

Depends wrapr(>=0.4.2)
Imports dplyr(>=0.5.0), DBI, RSQLite
Suggests testthat, knitr, rmarkdown, sparklyr(>=0.6.2), dbplyr, ggplot2, RPostgreSQL, DiagrammeR, igraph, htmlwidgets, webshot, magick, grid
Enhances
Linking to
Reverse
depends
Reverse
imports
WVPlots
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package replyr
Materials
URL https://github.com/WinVector/replyr/ https://winvector.github.io/replyr/
Task Views
Version 0.5.4
Published 2017-10-19
License GPL-3
BugReports https://github.com/WinVector/replyr/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks replyr check results
Package source replyr_0.5.4.tar.gz