deseasonalize.interactive: Removing seasonality in the 'climex' app

In theGreatWhiteShark/climexUI: Shiny-based User Interface to Analyse Large Amounts of Station Data Using The Climex Package

Description

Function for removing the seasonality of a given time series within the climex app.

Usage

deseasonalize.interactive(x.xts, selectDeseasonalize, selectDataBase)

Arguments

x.xts	Time series of class xts, which has to be cleaned.
selectDeseasonalize	Character (select) input determining, which deseasonalization method should be used to remove the short-range correlations from the provided time series. deseasonalizeSelectionInput. If NULL anomalies will be used.
selectDataBase	Character (select) input to determine the data source. It is either of one of the names of the provided list in the list.data.sources argument of the climex function or Artificial data. In case of the latter choice, the function data.selection will provide a reactive object containing random numbers drawn from the distribution specified using radioEvdStatistics. Default = a random element of the provided input.

Value

Time series of class xts.

Author(s)

Philipp Mueller

See Also

Other preprocessing: cleaning.interactive, data.extremes, deseasonalizeSelectionInput, deseasonalizeSelection, extremes.interactive, generalButtonMinMaxInput, generalButtonMinMax, generalExtremeExtractionInput, generalExtremeExtraction

theGreatWhiteShark/climexUI documentation built on May 22, 2019, 2:25 p.m.