seaKen

Calculates the Seasonal or Regional Kendall test of trend significance, including an estimate of the
 Sen slope.

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

seaKen function

<dl> <dt>x</dt>
<dd>A numeric vector, matrix or data frame made up of seasonal time series</dd> <dt>...</dt>
<dd>Other arguments to pass to plotting function</dd></dl>

Arguments

Alan D. Jassby and James E. Cloern

Author

Seasonal and Regional Kendall trend test (code modified from the former wq package) — seaKen

<dl>

 <dt>x</dt>
<dd>A numeric vector, matrix or data frame made up of seasonal time series</dd>

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

</dl>

seaKen: Seasonal and Regional Kendall trend test (code modified from the former wq package)

Description

Usage

Value

Arguments

Author

See Also