BeijingPM25

This hourly data set contains the PM2.5 data of US Embassy in Beijing. Meanwhile, meteorological data from Beijing Capital International Airport are also included.

datasets

An integrated package for constructing random forest prediction intervals using a fast implementation package 'ranger'. This package can apply the following three methods described in Haozhe Zhang, Joshua Zimmerman, Dan Nettleton, and Daniel J. Nordman (2019) <doi:10.1080/00031305.2019.1585288>: the out-of-bag prediction interval, the split conformal method, and the quantile regression forest.

Haozhe Zhang

rfinterval

Predictive Inference for Random Forests

BeijingPM25 function

A data frame with 8661 rows and 11 variables:<dl class="dl-horizontal">
 <dt>pm2.5</dt><dd>PM2.5 concentration (ug/m^3)</dd>
 <dt>month</dt><dd>month of observation</dd>
 <dt>day</dt><dd>day of observation</dd>
 <dt>hour</dt><dd>hour of observation</dd>
 <dt>DEWP</dt><dd>dew point</dd>
 <dt>TEMP</dt><dd>temperature</dd>
 <dt>PRES</dt><dd>air pressure</dd>
 <dt>cbwd</dt><dd>combined wind direction</dd>
 <dt>Iws</dt><dd>cumulated wind speed</dd>
 <dt>Is</dt><dd>cumulated hours of snow</dd>
 <dt>Ir</dt><dd>cumulated hours of rain</dd>
</dl>

Format

Beijing PM2.5 Air Pollution Data — BeijingPM25

A data frame with 8661 rows and 11 variables:<dl class='dl-horizontal'>
 <dt>pm2.5</dt><dd>PM2.5 concentration (ug/m^3)</dd>
 <dt>month</dt><dd>month of observation</dd>
 <dt>day</dt><dd>day of observation</dd>
 <dt>hour</dt><dd>hour of observation</dd>
 <dt>DEWP</dt><dd>dew point</dd>
 <dt>TEMP</dt><dd>temperature</dd>
 <dt>PRES</dt><dd>air pressure</dd>
 <dt>cbwd</dt><dd>combined wind direction</dd>
 <dt>Iws</dt><dd>cumulated wind speed</dd>
 <dt>Is</dt><dd>cumulated hours of snow</dd>
 <dt>Ir</dt><dd>cumulated hours of rain</dd>
</dl>

BeijingPM25: Beijing PM2.5 Air Pollution Data

Description

Usage

Arguments

Format