Other packages > Find by keyword >

virtuoso  

Interface to 'Virtuoso' using 'ODBC'
View on CRAN: Click here


Download and install virtuoso package within the R console
Install from CRAN:
install.packages("virtuoso")

Install from Github:
library("remotes")
install_github("cran/virtuoso")

Install by package version:
library("remotes")
install_version("virtuoso", "0.1.8")



Attach the package and use:
library("virtuoso")
Maintained by
Carl Boettiger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-06
Latest Update: 2021-11-02
Description:
Provides users with a simple and convenient mechanism to manage and query a 'Virtuoso' database using the 'DBI' (Data-Base Interface) compatible 'ODBC' (Open Database Connectivity) interface. 'Virtuoso' is a high-performance "universal server," which can act as both a relational database, supporting standard Structured Query Language ('SQL') queries, while also supporting data following the Resource Description Framework ('RDF') model for Linked Data. 'RDF' data can be queried using 'SPARQL' ('SPARQL' Protocol and 'RDF' Query Language) queries, a graph-based query that supports semantic reasoning. This allows users to leverage the performance of local or remote 'Virtuoso' servers using popular 'R' packages such as 'DBI' and 'dplyr', while also providing a high-performance solution for working with large 'RDF' 'triplestores' from 'R.' The package also provides helper routines to install, launch, and manage a 'Virtuoso' server locally on 'Mac', 'Windows' and 'Linux' platforms using the standard interactive installers from the 'R' command-line.By automatically handling these setup steps, the package can make using 'Virtuoso' considerably faster and easier for a most users to deploy in a local environment. Managing the bulk import of triples from common serializations with a single intuitive command is another key feature of this package.Bulk import performance can be tens to hundreds of times faster than the comparable imports using existing 'R' tools, including 'rdflib' and 'redland' packages.
How to cite:
Carl Boettiger (2019). virtuoso: Interface to 'Virtuoso' using 'ODBC'. R package version 0.1.8, https://cran.r-project.org/web/packages/virtuoso. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:59), 0.1.3 (2019-04-06 14:00), 0.1.4 (2020-01-10 22:10), 0.1.5 (2020-09-01 10:40), 0.1.6 (2021-03-23 02:00), 0.1.7 (2021-11-01 17:10)
Other packages that cited virtuoso R package
View virtuoso citation profile
Other R packages that virtuoso depends, imports, suggests or enhances
Complete documentation for virtuoso
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA