rolling_gaussian_cpp

internal

Tools to analyse, interpret and understand air pollution
data. Data are typically regular time series and air quality
measurement, meteorological data and dispersion model output can be
analysed. The package is described in Carslaw and Ropkins (2012,
<doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.

David Carslaw

openair

Tools for the Analysis of Air Pollution Data

rolling_gaussian_cpp function

<dl><dt>x</dt>
<dd>Numeric vector to smooth</dd>
<dt>sigma</dt>
<dd>Standard deviation of the Gaussian kernel</dd>
<dt>threshold</dt>
<dd>Min fraction of valid data in window (0-1)</dd></dl>

Arguments

Fast Rolling Gaussian Smoother — rolling_gaussian_cpp

<dl>

<dt>x</dt>
<dd>Numeric vector to smooth</dd>


<dt>sigma</dt>
<dd>Standard deviation of the Gaussian kernel</dd>


<dt>threshold</dt>
<dd>Min fraction of valid data in window (0-1)</dd>

</dl>

rolling_gaussian_cpp: Fast Rolling Gaussian Smoother

Description

Usage

Arguments