artrans.wge {tswge} | R Documentation |
Perform Ar transformations
Description
Given a time series in the vector x, and AR coefs phi1 and phi2, for example, artrans.wge computes y(t)=x(t)-phi1X(t-1)-phi2x(t-2), for t=3, ..., n
Usage
artrans.wge(x,phi.tr, lag.max=25, plottr = "TRUE")
Arguments
x |
Vector containing original realization |
phi.tr |
Coefficients of the transformation |
lag.max |
Max lag (k) for sample autocorrelations |
plottr |
If plottr=TRUE then plots of the data, transformed data, and sample autocorelations of original and transformed data |
Value
Transformed data
Note
For a difference, use phi.tr=1
Author(s)
Wayne Woodward
References
"Applied Time Series Analysis with R, 2nd edition" by Woodward, Gray, and Elliott"
Examples
data(wtcrude)
difdata=artrans.wge(wtcrude,phi.tr=1,lag.max=30,plottr=TRUE)
[Package tswge version 2.1.0 Index]