replyr (0.8.2)

Reliable Adaption of Big Data with R.

https://github.com/WinVector/replyr/
https://winvector.github.io/replyr/
http://cran.r-project.org/web/packages/replyr

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
Author(s): John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]

License: GPL-3

Uses: cdata, DBI, dbplyr, dplyr, RSQLite, seplyr, wrapr, ggplot2, igraph, RPostgreSQL, testthat, knitr, rmarkdown, htmlwidgets, DiagrammeR, webshot, magick, sparklyr

Released almost 2 years ago.