PivotalR: A Fast, Easy-to-Use Tool for Manipulating Tables in Databases and a Wrapper of MADlib

Provides an R interface for the 'VMware Data Stack' running on 'PostgreSQL' or 'Greenplum' databases with parallel and distributed computation ability for big data processing. 'PivotalR' provides an R interface to various database operations on tables or views. These operations are almost the same as the corresponding native R operations. Thus users of R do not need to learn 'SQL' when they operate on objects in the database. It also provides a wrapper for 'Apache MADlib', which is an open-source library for parallel and scalable in-database analytics.

Depends: R (≥ 3.5.0), methods, Matrix, semver
Suggests: DBI, RPostgreSQL, shiny, testthat, tools, rpart, randomForest, topicmodels
Published: 2021-03-12
Author: Predictive Analytics Team at VMware.
Maintainer: Orhan Kislal <okislal at vmware.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: PivotalR results


Reference manual: PivotalR.pdf
Vignettes: An Introduction to PivotalR


Package source: PivotalR_0.1.18.5.tar.gz
Windows binaries: r-devel: PivotalR_0.1.18.5.zip, r-release: PivotalR_0.1.18.5.zip, r-oldrel: PivotalR_0.1.18.5.zip
macOS binaries: r-release (arm64): PivotalR_0.1.18.5.tgz, r-release (x86_64): PivotalR_0.1.18.5.tgz, r-oldrel: PivotalR_0.1.18.5.tgz
Old sources: PivotalR archive


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