|
Essential Wavelets for Statistical Applications and Data Analysis R.T. Ogden, University of South Carolina 0-8176-3864-4 * 1996 * $40.00 * Hardcover * 285 pages * 40 Illustrations |
Fig2.4 <- function(n=32)
{
# postscript(file = "Fig2.4.ps", height = 3.9, width = 6.5, horiz = F)
par(mar = c(1.5, 1.5, 1.5, 0.5), mgp = c(5, 0.4, 0))
rs <- c(57, 14, 55, 51, 30, 0, 53, 44, 34, 53, 49, 2)
.Random.seed <- rs
x <- (1:n)/n
y <- 5 * sin(x * 2 * pi)
ynoise <- y + rnorm(n)
plot(c(0, rep(x[1:(n - 1)], rep(2, n - 1)), x[n]),
rep(ynoise, rep(2, n)), type = "l")
# graphics.off()
NULL
}