vario

Compute a classical semi-variogram for a single regular time series

Regularisation, decomposition and analysis of space-time series.
The pastecs R package is a PNEC-Art4 and IFREMER (Benoit Beliaeff
<Benoit.Beliaeff@ifremer.fr>) initiative to bring PASSTEC 2000 functionalities to R.

Philippe Grosjean

pastecs

Package for Analysis of Space-Time Ecological Series

Frederic Ibanez

Michele Etienne

vario function

<dl> <dt>x</dt>
<dd>a vector or an univariate time series</dd> <dt>max.dist</dt>
<dd>the maximum distance to calculate. By default, it is the third of the number of observations</dd> <dt>plotit</dt>
<dd>If <code>plotit=TRUE</code> then the graph of the semi-variogram is plotted</dd> <dt>vario.data</dt>
<dd>data coming from a previous call to <code>vario()</code>. Call the function again with these data to plot the corresponding graph</dd></dl>

Arguments

Frédéric Ibanez (<a href="/link/ibanez%40obs-vlfr.fr?package=pastecs&version=1.4.2" data-mini-rdoc="pastecs::ibanez@obs-vlfr.fr">ibanez@obs-vlfr.fr</a>), Philippe Grosjean (<a href="/link/phgrosjean%40sciviews.org?package=pastecs&version=1.4.2" data-mini-rdoc="pastecs::phgrosjean@sciviews.org">phgrosjean@sciviews.org</a>)

Author

Compute and plot a semi-variogram — vario

<dl>

 <dt>x</dt>
<dd>a vector or an univariate time series</dd>

 <dt>max.dist</dt>
<dd>the maximum distance to calculate. By default, it is the third of the number of observations</dd>

 <dt>plotit</dt>
<dd>If <code>plotit=TRUE</code> then the graph of the semi-variogram is plotted</dd>

 <dt>vario.data</dt>
<dd>data coming from a previous call to <code>vario()</code>. Call the function again with these data to plot the corresponding graph</dd>

</dl>

Frédéric Ibanez (<a href='mailto:ibanez@obs-vlfr.fr'>ibanez@obs-vlfr.fr</a>), Philippe Grosjean (<a href='mailto:phgrosjean@sciviews.org'>phgrosjean@sciviews.org</a>)

vario: Compute and plot a semi-variogram

Description

Usage

Value

Arguments

Author

References

See Also

Examples