air_quality

Air quality measurements collected from a gas multisensor device deployed in an Italian city.
This dataset contains the responses of a gas multisensor device deployed on the field
in an Italian city.

datasets

Provides tools for factor analysis in high-dimensional settings under
copula-based factor models. It includes functions to simulate factor-model data
with copula-distributed idiosyncratic errors (e.g., Clayton, Gumbel, Frank,
Student t and Gaussian copulas) and to perform diagnostic tests such as the
Kaiser-Meyer-Olkin measure and Bartlett's test of sphericity. Estimation routines
include principal component based factor analysis, projected principal component
analysis, and principal orthogonal complement thresholding for large covariance
matrix estimation. The philosophy of the package is described in Guo G. (2023)
<doi:10.1007/s00180-022-01270-z>.

Guangbao Guo

CoFM

Copula Factor Models

Xin Gao

air_quality function

A data frame with 9358 rows and 14 variables:<dl>
<dt><code>DateTime</code></dt>
<dd>Date and time of the measurement (<code>POSIXct</code>).</dd><dt><code>CO_GT</code></dt>
<dd>True hourly averaged CO concentration in \(mg/m^3\) (reference analyzer).</dd><dt><code>PT08_S1_CO</code></dt>
<dd>PT08.S1 (tin oxide) hourly averaged sensor response (CO targeted).</dd><dt><code>NMHC_GT</code></dt>
<dd>True hourly averaged non-methanic hydrocarbons concentration in \(\mu g/m^3\).</dd><dt><code>C6H6_GT</code></dt>
<dd>True hourly averaged benzene concentration in \(\mu g/m^3\).</dd><dt><code>PT08_S2_NMHC</code></dt>
<dd>PT08.S2 (titania) hourly averaged sensor response (NMHC targeted).</dd><dt><code>NOx_GT</code></dt>
<dd>True hourly averaged NOx concentration in ppb.</dd><dt><code>PT08_S3_NOx</code></dt>
<dd>PT08.S3 (tungsten oxide) hourly averaged sensor response (NOx targeted).</dd><dt><code>NO2_GT</code></dt>
<dd>True hourly averaged NO2 concentration in \(\mu g/m^3\).</dd><dt><code>PT08_S4_NO2</code></dt>
<dd>PT08.S4 (tungsten oxide) hourly averaged sensor response (NO2 targeted).</dd><dt><code>PT08_S5_O3</code></dt>
<dd>PT08.S5 (indium oxide) hourly averaged sensor response (O3 targeted).</dd><dt><code>T</code></dt>
<dd>Temperature in degrees Celsius.</dd><dt><code>RH</code></dt>
<dd>Relative humidity (percent).</dd><dt><code>AH</code></dt>
<dd>Absolute humidity.</dd>
</dl>A data frame with 9357 rows and 16 variables.

Format

Air Quality Data Set — air_quality

A data frame with 9358 rows and 14 variables:<dl>
<dt><code>DateTime</code></dt>
<dd>Date and time of the measurement (<code>POSIXct</code>).</dd>

<dt><code>CO_GT</code></dt>
<dd>True hourly averaged CO concentration in \(mg/m^3\) (reference analyzer).</dd>

<dt><code>PT08_S1_CO</code></dt>
<dd>PT08.S1 (tin oxide) hourly averaged sensor response (CO targeted).</dd>

<dt><code>NMHC_GT</code></dt>
<dd>True hourly averaged non-methanic hydrocarbons concentration in \(\mu g/m^3\).</dd>

<dt><code>C6H6_GT</code></dt>
<dd>True hourly averaged benzene concentration in \(\mu g/m^3\).</dd>

<dt><code>PT08_S2_NMHC</code></dt>
<dd>PT08.S2 (titania) hourly averaged sensor response (NMHC targeted).</dd>

<dt><code>NOx_GT</code></dt>
<dd>True hourly averaged NOx concentration in ppb.</dd>

<dt><code>PT08_S3_NOx</code></dt>
<dd>PT08.S3 (tungsten oxide) hourly averaged sensor response (NOx targeted).</dd>

<dt><code>NO2_GT</code></dt>
<dd>True hourly averaged NO2 concentration in \(\mu g/m^3\).</dd>

<dt><code>PT08_S4_NO2</code></dt>
<dd>PT08.S4 (tungsten oxide) hourly averaged sensor response (NO2 targeted).</dd>

<dt><code>PT08_S5_O3</code></dt>
<dd>PT08.S5 (indium oxide) hourly averaged sensor response (O3 targeted).</dd>

<dt><code>T</code></dt>
<dd>Temperature in degrees Celsius.</dd>

<dt><code>RH</code></dt>
<dd>Relative humidity (percent).</dd>

<dt><code>AH</code></dt>
<dd>Absolute humidity.</dd>


</dl>

A data frame with 9357 rows and 16 variables.

air_quality: Air Quality Data Set

Description

Usage

Arguments

Format

Details