TaiwanAirBox032017

<p>Hourly PM25 measurements were constructed from random minute observations collected by AirBox devices for March 2017.
There are 744 observations and 516 series.</p>

datasets

Programs for analyzing large-scale time series data. They include functions for automatic specification and estimation of univariate time series, for clustering time series, for multivariate outlier detections, for quantile plotting of many time series, for dynamic factor models and for creating input data for deep learning programs. Examples of using the package can be found in the Wiley book 'Statistical Learning with Big Dependent Data' by Daniel Pe<c3><b1>a and Ruey S. Tsay (2021). ISBN 9781119417385.

Antonio El<c3><ad>as

SLBDD

Statistical Learning for Big Dependent Data

Angela Caro

Antonio Elias

Daniel Pe<c3><b1>a

Ruey S. Tsay

TaiwanAirBox032017 function

<p>An object of class <code>"data.frame"</code>.</p>

Format

Hourly PM25 Measurements from Air-Box Devices in Taiwan — TaiwanAirBox032017

Hourly PM25 Measurements from Air-Box Devices in Taiwan

TaiwanAirBox032017: Hourly PM25 Measurements from Air-Box Devices in Taiwan

Description

Usage

Arguments

Format

References