iAR (version 1.3.0)

harmonicfit: Harmonic Fit to Time Series

Description

This function fit an k-harmonic function to time series data.

Usage

harmonicfit(
  file,
  f1,
  nham = 4,
  weights = NULL,
  print = FALSE,
  remove_trend = TRUE
)

Value

A list with the following components:

res

Residuals to the harmonic fit of the time series.

t

Observations times.

R2

Adjusted R-Squared.

MSE

Mean Squared Error.

coef

Summary of the coefficients estimated by the harmonic model.

Arguments

file

A matrix with two columns. The first column corresponds to the observations times, and the second column corresponds to the measures.

f1

Frequency (1/Period) of the time series

nham

Number of harmonic components in the model

weights

An array with the weights of each observation

print

logical; if true, the summary of the harmonic fitted model will be printed. The default value is false.

remove_trend

logical; if true, the linear trend of time series will be removed before the the harmonic model is fitted.

Examples

data(clcep)
f1=0.060033386
#results=harmonicfit(file=clcep[,1:2],f1=f1)
#results$R2
#results$MSE
#results=harmonicfit(file=clcep[,1:2],f1=f1,nham=3)
#results$R2
#results$MSE
#results=harmonicfit(file=clcep[,1:2],f1=f1,weights=clcep[,3])
#results$R2
#results$MSE