Smoothing a time series with moving averages using the <code>filter</code> function.

 misc 

The "Manual on Low-flow Estimation and Prediction" (Gustard & Demuth (2009, ISBN:978-92-63-11029-9)), published by the World Meteorological Organisation, gives a comprehensive summary on how to analyse stream flow data focusing on low-flows. This packages provides functions to compute the described statistics and produces plots similar to the ones in the manual.

Tobias Gauster

lfstat

Calculation of Low Flow Statistics for Daily Stream Flow Data

Gregor Laaha

Daniel Koffler

ma function

<dl> <dt>x</dt>
<dd>numeric vector to be smoothed</dd> <dt>n</dt>
<dd>numeric vector of length one determining the width of the smoothing window</dd> <dt>sides</dt>
<dd>one of <code>'past'</code>, <code>'center'</code> or <code>'future'</code> indicating the side of the filter.)</dd></dl>

Arguments

Simple Moving Average — ma

<dl>

 <dt>x</dt>
<dd>numeric vector to be smoothed</dd>

 <dt>n</dt>
<dd>numeric vector of length one determining the width of the smoothing window</dd>

 <dt>sides</dt>
<dd>one of <code>'past'</code>, <code>'center'</code> or <code>'future'</code> indicating the side of the filter.)</dd>

</dl>

ma: Simple Moving Average

Description

Usage

Value

Arguments

See Also

Examples