mannKen

Applies Kendall's tau test for the significance of a monotonic time series trend. Also
 calculates the Sen slope as an estimate of this trend.

This interface was created to develop a standard procedure
to analyse temporal trend in the framework of the OSPAR convention.
The analysis process run through 4 successive steps : 1) manipulate your data, 2)
select the parameters you want to analyse, 3) build your regulated
time series, 4) perform diagnosis and analysis and 5) read the results.
Statistical analysis call other package function such as Kendall tests
or cusum() function.

David DEVREKER

TTAinterfaceTrendAnalysis

Temporal Trend Analysis Graphical Interface

Alain LEFEBVRE

mannKen function

<dl> <dt>x</dt>
<dd>A numeric vector, matrix or data frame</dd> <dt>...</dt>
<dd>Other arguments to pass to plotting function</dd></dl>

Arguments

Alan D. Jassby and James E. Cloern

Author

Mann-Kendall trend test and the Sen slope (code modified from the former wq package) — mannKen

<dl>

 <dt>x</dt>
<dd>A numeric vector, matrix or data frame</dd>

 <dt>...</dt>
<dd>Other arguments to pass to plotting function</dd>

</dl>

mannKen: Mann-Kendall trend test and the Sen slope (code modified from the former wq package)

Description

Usage

Value

Arguments

Author

See Also