mean_detrended.dm

This function calculate the mean detrended series of dendrometer data. It is usefull to make a single averaged detrended dendrometer series of a species in a site. Further, it provides option for removing first order autocorrelation from dendrometer series using <code>auto.arima</code> function of "forecast" package.

There are various functions for managing and cleaning data before the application of different approaches. This includes identifying and erasing sudden jumps in dendrometer data not related to environmental change, identifying the time gaps of recordings, and changing the temporal resolution of data to different frequencies. Furthermore, the package calculates daily statistics of dendrometer data, including the daily amplitude of tree growth. Various approaches can be applied to separate radial growth from daily cyclic shrinkage and expansion due to uptake and loss of stem water. In addition, it identifies periods of consecutive days with user-defined climatic conditions in daily meteorological data, then check what trees are doing during that period.

Sugam Aryal

dendRoAnalyst

A Tool for Processing and Analyzing Dendrometer Data

Martin Häusser

Jussi Grießinger

Ze-Xin Fan

Achim Bräuning

mean_detrended.dm function

<dl><dt>detrended.dm</dt>
<dd>dataframe output data frame of <code>dm.detrend</code> function.</dd>
<dt>ac1.remove</dt>
<dd>logical if TRUE removes first order autocorrelation.</dd>
<dt>robust.mean</dt>
<dd>logical if TRUE calculates robust mean.</dd></dl>

Arguments

Calculate mean of detrended dendrometer data. — mean_detrended.dm

<dl>

<dt>detrended.dm</dt>
<dd>dataframe output data frame of <code>dm.detrend</code> function.</dd>


<dt>ac1.remove</dt>
<dd>logical if TRUE removes first order autocorrelation.</dd>


<dt>robust.mean</dt>
<dd>logical if TRUE calculates robust mean.</dd>

</dl>

mean_detrended.dm: Calculate mean of detrended dendrometer data.

Description

Usage

Value

Arguments

Examples