data.gen.SW: Generate predictor and response data: Sinusoidal model

In synthesis: Generate Synthetic Data from Statistical Models

Generate predictor and response data: Sinusoidal model

Description

Generate predictor and response data: Sinusoidal model

Usage

data.gen.SW(nobs = 500, freq = 50, A = 2, phi = pi, mu = 0, sd = 1)

Arguments

nobs	The data length to be generated.
freq	The frequencies in the generated response. Default freq=50.
A	The amplitude of the sinusoidal series
phi	The phase of the sinusoidal series
mu	The mean of Gaussian noise in the variable.
sd	The standard deviation of Gaussian noise in the variable.

Value

A list of time and x.

References

Shumway, R. H., & Stoffer, D. S. (2011). Characteristics of Time Series. In D. S. Stoffer (Ed.), Time series analysis and its applications (pp. 8-14). New York : Springer.

Examples

### Sinusoidal model
delta <- 1/12 # sampling rate, assuming monthly
period.max<- 2^5

N = 6*period.max/delta
scales<- 2^(0:5)[c(2,6)] #pick two scales
scales

### scale, period, and frequency
# freq=1/T; T=s/delta so freq = delta/s

tmp <- NULL
for(s in scales){
  tmp <- cbind(tmp, data.gen.SW(nobs=N, freq = delta/s, A = 1, phi = 0, mu=0, sd = 0)$x)
}
x <- rowSums(data.frame(tmp))
plot.ts(cbind(tmp,x), type = 'l', main=NA)

synthesis documentation built on Nov. 2, 2023, 5:51 p.m.