.flagOutliers

This function uses Hampel filter outlier detection to flag
outliers in <code>parameter</code> column of the incoming dataframe. The
<code>width</code> and <code>thresholdMin</code> parameters as passed on to the
<code>findOutliers</code> function.
An additional boolean column named <code>&lt;parameter&gt;_outlierFlag</code> is added
to the dataframe. This column will have <code>TRUE</code> whenever an outlier is
detected for the chosen <code>parameter</code>.
See <code>findOutliers</code> for further details.

internal

Utility functions for working with environmental time series data from known
locations. The 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".
Ephemerides calculations are based on code originally found in NOAA's
"Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.

Jonathan Callahan

MazamaTimeSeries

Core Functionality for Environmental Time Series

Hans Martin

Eli Grosman

Roger Bivand

Sebastian Luque

.flagOutliers function

<dl><dt>df</dt>
<dd>Data frame.</dd>
<dt>parameter</dt>
<dd>Data frame parameter to use for outlier detection.</dd>
<dt>width</dt>
<dd>Width the rolling window.</dd>
<dt>thresholdMin</dt>
<dd>Minimum threshold value used to detect outliers.</dd></dl>

Arguments

Flag outliers in vectorized data — .flagOutliers

<dl>

<dt>df</dt>
<dd>Data frame.</dd>


<dt>parameter</dt>
<dd>Data frame parameter to use for outlier detection.</dd>


<dt>width</dt>
<dd>Width the rolling window.</dd>


<dt>thresholdMin</dt>
<dd>Minimum threshold value used to detect outliers.</dd>

</dl>

.flagOutliers: Flag outliers in vectorized data

Description

Usage

Value

Arguments