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