monitor_getDataFrame

monitor_getData

monitor_getMeta

These functions are convenient wrappers for extracting the dataframes that
comprise a mts_monitor object. These functions are designed to be
useful when manipulating data in a pipeline using <code>%&gt;%</code>.
Below is a table showing equivalent operations for each function.
<table class="table">
<tr><td>Function</td><td>Equivalent Operation</td></tr>
<tr><td><code>monitor_getData(monitor)</code></td><td><code>monitor$data</code></td></tr>
<tr><td><code>monitor_getMeta(monitor)</code></td><td><code>monitor$meta</code></td></tr>
</table>

Utilities for working with hourly air quality monitoring data
with a focus on small particulates (PM2.5). A compact data model is
structured as a list with two dataframes. A 'meta' dataframe contains
spatial and measuring device metadata associated with deployments at known
locations. A 'data' dataframe contains a 'datetime' column followed by
columns of measurements associated with each "device-deployment".
Algorithms to calculate NowCast and the associated Air Quality Index (AQI)
are defined at the US Environmental Projection Agency AirNow program:
<https://document.airnow.gov/technical-assistance-document-for-the-reporting-of-daily-air-quailty.pdf>.

Jonathan Callahan

AirMonitor

Air Quality Data Analysis

Spencer Pease

Hans Martin

Rex Thompson

monitor_getDataFrame function

<dl><dt>monitor</dt>
<dd>mts_monitor object to extract dataframe from.</dd></dl>

Arguments

These functions are convenient wrappers for extracting the dataframes that
comprise a mts_monitor object. These functions are designed to be
useful when manipulating data in a pipeline using <code>%&gt;%</code>.
Below is a table showing equivalent operations for each function.
<table class='table'>
<tr><td>Function</td><td>Equivalent Operation</td></tr>
<tr><td><code>monitor_getData(monitor)</code></td><td><code>monitor$data</code></td></tr>
<tr><td><code>monitor_getMeta(monitor)</code></td><td><code>monitor$meta</code></td></tr>
</table>

Extract dataframes from mts_monitor objects — monitor_getDataFrame

<dl>

<dt>monitor</dt>
<dd>mts_monitor object to extract dataframe from.</dd>

</dl>

Function	Equivalent Operation
`monitor_getData(monitor)`	`monitor$data`
`monitor_getMeta(monitor)`	`monitor$meta`

monitor_getDataFrame: Extract dataframes from mts_monitor objects

Description

Usage

Value

Arguments