replyr (0.5.4)

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

Released 4 days ago.


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