seasonTrend

Finds the trend for each season and each variable in a time series.

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

seasonTrend function

<dl> <dt>x</dt>
<dd>Time series vector, or time series matrix with column names</dd> <dt>...</dt>
<dd>Further options to pass to plotting function</dd></dl>

Arguments

Alan D. Jassby and James E. Cloern

Author

Determine seasonal trends (code modified from the former wq package) — seasonTrend

<dl>

 <dt>x</dt>
<dd>Time series vector, or time series matrix with column names</dd>

 <dt>...</dt>
<dd>Further options to pass to plotting function</dd>

</dl>

seasonTrend: Determine seasonal trends (code modified from the former wq package)

Description

Usage

Value

Arguments

Author

See Also