R SDK getting started

The CloudQuant Data Liberator R package provides functions for querying datasets and converting results to R DataFrames.

Required security files

Place the following files from your Downloads ZIP in your working directory:

liberator.json — Contains your Username and Token
liberator.pfx — Security certificate (only required for releases prior to 2.0)

As of release version 2.0, liberator.pfx is no longer required. If you are on a release prior to 2.0, you must also include liberator.pfx in your working directory.

Quick start

Query and get DataFrame

res = liberator::get_dataframe(liberator::query(
    symbols="AAPL",
    name="daily_bars",
    as_of="2025-01-01",
    back_to="2024-12-01"
))

print(res)

Function reference

The get_dataframe function accepts a query result and converts it into a DataFrame:

get_dataframe <- function(res, muts_order_batches=TRUE)

You can send debug output to stderr:

print(liberator::get_dataframe(liberator::query(
    name="daily_bars",
    symbols="AAPL",
    as_of="2019-09-15",
    back_to="2019-09-10",
    debug_stream=stderr()
)))

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R SDK Getting Started

R SDK getting started

Required security files

Quick start

Query and get DataFrame

Function reference

​R SDK getting started

​Required security files

​Quick start

​Query and get DataFrame

​Function reference

R SDK getting started

Required security files

Quick start

Query and get DataFrame

Function reference