README.md

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redivis-r

Redivis client library for R!

Connect data on Redivis to the R scientific stack, upload new data to Redivis, and script your data management tasks!

Getting started

The easiest way to get started is to create a new R notebook on Redivis. This package, alongside other common data science R packages, are all preinstalled.

You can also install the latest version of this package in any other R environment:

devtools::install_github("redivis/redivis-r", ref="main")

And then you're ready to go!

library("redivis") 

organization <- redivis$organization("demo")
dataset <- organization$dataset("cms_2014_medicare_data")
table <- dataset$table("home_health_agencies")

df <- table$to_tibble()

Documentation

View the comprehensive documentation here >

This package contains a number of methods for processing data on Redivis and interfacing with the API through R. Consult the documentation for a detailed list of all methods and accompanying examples.

Issue reporting

Please report any issues or feature requests in the issue tracker.

Contributing

Please report any issues or feature requests in the issue tracker — your feedback is much appreciated!



redivis/redivis-r documentation built on June 1, 2025, 2:11 p.m.