tsEvaRunningMeanTrend {RtsEva}R Documentation

Calculate the running mean trend of a time series

Description

This function calculates the running mean trend of a given time series using a specified time window.

Usage

tsEvaRunningMeanTrend(timeStamps, series, timeWindow)

Arguments

timeStamps

A vector of time stamps corresponding to the observations in the series.

series

A vector of numeric values representing the time series.

timeWindow

The length of the time window (in the same time units as the time stamps) used for calculating the running mean trend.

Value

A list containing the running mean trend series and the number of observations used for each running mean calculation.

Examples

timeAndSeries <- ArdecheStMartin
timeStamps <- ArdecheStMartin[,1]
series  <- ArdecheStMartin[,2]
timeWindow <- 365*30
result <- tsEvaRunningMeanTrend(timeStamps, series, timeWindow)
result$trendSeries
result$nRunMn


[Package RtsEva version 1.0.0 Index]