x11() periods <- 5 observations_per_period <- 100 total_observations <- periods * observations_per_period x <- seq(0, 1, length=total_observations) trend <- 3+ (x+ 0.2)^2 * 3 seasonal <- sin(2*pi*x*periods)+cos(6*pi*x*periods) * 1 random <- rnorm(length(x), mean=0, sd=1) * 0.2 y <- trend + seasonal + random acf(y) z <- locator(1) y_diff <- diff(y) acf(y_diff) z <- locator(1)