Ready Signal API Documentation – R 3.6+

This library is designed to be a wrapper for the Ready Signal API: http://app.readysignal.com

It is hosted on GitHub here: https://github.com/rxa-io/readysignal-r

Please direct all questions and/or recommendations to support@readysignal.com

Installation

library(devtools)
devtools::install_github(“rxa-io/readysignal-r”)

Usage

Your access token and signal ID can be found on your “Manage Signal” page within the Output information. Your signal ID is also visible within the URL of the “Manage Signal” page:https://…readysignal.com/signal/SIGNAL_ID/manage

Setup

library(readysignal)

access_token <- “YOUR_ACCESS_TOKEN“
signal_id <- 123 # (your signal ID)

List Signal

Using your access_token , you can list all signals and metadata that are associated with your Ready Signal account.list_signals(access_token)

Example Output

id name description … links.manage
_{1 7 test signal first signal … https://app.readysignal.com/signal/7/manage
2 11 another signal useful signal … https://app.readysignal.com/signal/11/manage
3 13 one more signal important stuff … https://app.readysignal.com/signal/13/manage}

Signal Details

Using your access_token and your signal_id you can view the details of a specific signal.get_signal_details(access_token, signal_id)

Signal Data

There are two different ways to receive your signal data: * R data.frame * CSV exportdata.framedf <- get_signal(access_token, signal_id)

Example Output

start end country actual-snow-fall … population-total
_{1 2019-11-01 2019-11-30 United States of America 160205.00 … 308745538.00
2 2019-12-01 2019-12-31 United States of America 219691.00 … 308745538.00
3 2020-01-01 2020-01-31 United States of America 220869.00 … 308745538.00}

CSV Export

signal_to_csv(access_token, signal_id, “my_signal.csv”)

Help

Use the built-in help() command to view function descriptions, etc. help(signal_to_csv)

Auto Discover

Description

create a signal with the Auto Discover feature

Usage

auto_discovery (
   token,
   geo_grain,
   date_grain,
   filename = NULL,
   df = NULL,
   callback_url = NULL
)

Arguments
token	`User access token`
geo_grain	`Geo grain of upload, “State” or “Country”`
date_grain	`Date grain of upload, “Day” or “Month”`
create_custom_features	`“0” or “1” \| Optional \| Numeric`
filename	`Filename of .CSV or .XLS with “Date”, “Value”, “State” (if geo_grain=State) columns. Not to be used with df`
df	`Dataframe with “Date”, “Value”, “State” (if geo_grain=State). Not to be used with filename`
callback_url	`Callback URL for notifications`

Value

HTTP response

Sample Code

# create a new signal with the AutoDiscovery feature
# from a dataframe. When geo-grain=Country, columns
# MUST be c("Date", "Value"). When geo-grain=State,
# columns MUST be c("Date", "Value", "State")
df <- data.frame(
Date=c("2022-01-01", "2022-01-02", "2022-01-03"),
Value=c(351, 465, 712)
)
auto_discover(token, geo_grain="Country", date_grain="Day", df=df)

# use AutoDiscovery with a file upload, this time we'll
# use a State geo_grain. The file needs the same columns
# as described above
system("cat states.csv") # Date,State,Value
# 2020-03-01,TN,416000
# 2020-03-01,KY,373000
# ...
resp <- auto_discover(token, geo_grain="State", date_grain="Month", filename="states.csv")

Ready Signal API Documentation – R 3.6+

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