smooth_percentile

An internal function that helps to create climatologies in
accordance with the Hobday et al. (2016) standard.

internal

The different methods for defining, detecting, and categorising the extreme events
known as heatwaves or cold-spells, as first proposed in Hobday et al. (2016) <doi: 10.1016/j.pocean.2015.12.014>
and Hobday et al. (2018) <https://www.jstor.org/stable/26542662>. The functions in this package work on both air
and water temperature data. These detection algorithms may be used on non-temperature data as well.

Robert W. Schlegel

heatwaveR

Detect Heatwaves and Cold-Spells

Albertus J. Smit

smooth_percentile function

<dl><dt>data</dt>
<dd>The data given to this function during the calculations
performed by <code>ts2clm</code>.</dd>
<dt>smoothPercentileWidth</dt>
<dd>The width of the smoothing window
to be applied. The default is <code>31</code> days.</dd>
<dt>var_calc</dt>
<dd>This is passed from the ts2clm argument <code>var</code>
and tells the function if a var column exists that needs to be smoothed.</dd></dl>

Arguments

Author

Detect the climatology for a time series. — smooth_percentile

<dl>

<dt>data</dt>
<dd>The data given to this function during the calculations
performed by <code>ts2clm</code>.</dd>


<dt>smoothPercentileWidth</dt>
<dd>The width of the smoothing window
to be applied. The default is <code>31</code> days.</dd>


<dt>var_calc</dt>
<dd>This is passed from the ts2clm argument <code>var</code>
and tells the function if a var column exists that needs to be smoothed.</dd>

</dl>

smooth_percentile: Detect the climatology for a time series.

Description

Usage

Value

Arguments

Author