loadAustinData: Load Austin Temperature Data from GitHub Repository

In Rfssa: Functional Singular Spectrum Analysis

Load Austin Temperature Data from GitHub Repository

Description

This function retrieves the Austin Temperature dataset from a GitHub repository hosted at https://github.com/haghbinh/dataset/Rfssa_dataset. Hosting datasets on GitHub rather than including them in the Rfssa R package conserves storage space. The Austin Temperature dataset contains intraday hourly temperature curves measured in degrees Celsius from January 1973 to July 2023, recorded once per month. The returned object is a raw dataset in 'list' format;

Usage

loadAustinData()

Format

Containing two matrix objects:

Austin Temperature Data

A 24 by 607 matrix of discrete samplings of intraday hourly temperature curves, one day per month.

Utqiagvik Temperature Data

A 24 by 607 matrix of discrete samplings of intraday hourly temperature curves, one day per month.

References

Trinka, J., Haghbin, H., Shang, H., Maadooliat, M. (2023). Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches. Stat, e621.

Examples

Austin_raw <- loadAustinData()
str(Austin_raw)

Rfssa documentation built on May 29, 2024, 8:58 a.m.