POR_deseasonalize

Removes seasonal trends from a daily or monthly time series. Daily data are
deseasonalized by subtracting monthly mean values. Monthly data are deseasonalized by
subtracting mean monthly values.

preprocessing-data

period-of-record

Facilitates the analysis and evaluation of hydrologic model output and
time-series data with functions focused on comparison of modeled (simulated) and observed data,
period-of-record statistics, and trends.

Colin Penn

HyMETT

Hydrologic Model Evaluation and Time-Series Tools

Caelan Simeone

Sara Levin

Samuel Saxe

Sydney Foks

Robert Dudley

Glenn Hodgkins

Timothy Hodson

Thomas Over

Amy Russell

POR_deseasonalize function

<dl><dt>data</dt>
<dd>'data.frame'. Optional data.frame input, with columns containing <code>Date</code> and <code>value</code>.
Column names are specified as strings in the corresponding parameter. Default is <code>NULL</code>.</dd>
<dt>Date</dt>
<dd>'numeric' vector of Dates corresponding to each <code>value</code> when <code>data = NULL</code>, or 
'character' string identifying Date column name when <code>data</code> is specified.</dd>
<dt>value</dt>
<dd>'numeric' vector of values (often streamflow) when <code>data = NULL</code>, or 
'character' string identifying value column name when <code>data</code> is specified. 
(assumed to be daily or monthly).</dd>
<dt>time_step</dt>
<dd>'character' value. Either <code>"daily"</code> or <code>"monthly"</code>.</dd></dl>

Arguments

Removes seasonal trends from a daily or monthly time series. — POR_deseasonalize

<dl>

<dt>data</dt>
<dd>'data.frame'. Optional data.frame input, with columns containing <code>Date</code> and <code>value</code>.
Column names are specified as strings in the corresponding parameter. Default is <code>NULL</code>.</dd>


<dt>Date</dt>
<dd>'numeric' vector of Dates corresponding to each <code>value</code> when <code>data = NULL</code>, or 
'character' string identifying Date column name when <code>data</code> is specified.</dd>


<dt>value</dt>
<dd>'numeric' vector of values (often streamflow) when <code>data = NULL</code>, or 
'character' string identifying value column name when <code>data</code> is specified. 
(assumed to be daily or monthly).</dd>


<dt>time_step</dt>
<dd>'character' value. Either <code>"daily"</code> or <code>"monthly"</code>.</dd>

</dl>

Removes seasonal trends from a daily or monthly time series.

POR_deseasonalize: Removes seasonal trends from a daily or monthly time series.

Description

Usage

Value

Arguments

Details

See Also

Examples