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'.

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

Author(s): John Mount, Nina Zumel

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

install.packages("replyr")

Depends
Imports wrapr(>=0.1.2), dplyr(>=0.5.0), DBI, RSQLite
Suggests testthat, knitr, rmarkdown, sparklyr, ggplot2, babynames, magrittr, RPostgreSQL
Enhances
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Package replyr
Materials
URL https://github.com/WinVector/replyr
Task Views
Version 0.4.0
Published 2017-06-12
License GPL-3
BugReports https://github.com/WinVector/replyr/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks replyr check results
Package source replyr_0.4.0.tar.gz