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

In HyMETT: Hydrologic Model Evaluation and Time-Series Tools

Removes seasonal trends from a daily or monthly time series.

Description

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.

Usage

POR_deseasonalize(data = NULL, Date, value, time_step = c("daily", "monthly"))

Arguments

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

Details

The deseasonalize function removes seasonal trends from a daily or monthly time series and returns a deseasonalized time series, which can be used in the POR_calc_AR1 function.

Value

Deseasonalized values.

See Also

POR_calc_AR1

Examples

POR_deseasonalize(data = example_obs, Date = "Date", value = "streamflow_cfs")

HyMETT documentation built on Nov. 23, 2023, 1:08 a.m.