|
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 |
Fig2.2 <- function()
{
# postscript(file = "Fig2.2.ps", horiz = F, height = 6.5, width = 6.5)
par(mfrow = c(2, 2), mar = c(1.5, 1.5, 1.5, 0.5), mgp = c(5, 0.4, 0))
x <- seq(-2, 2, length = 200)
plot(x, dnorm(x), type = "l")
mtext("Gaussian kernel", side = 3, line = 0.1)
x <- seq(-1, 1, length = 200)
plot(x, 1 - abs(x), type = "l")
mtext("Triangle kernel", side = 3, line = 0.1)
plot(x, (3 * (1 - x^2))/4, type = "l")
mtext("Epanechnikov kernel", side = 3, line = 0.1)
plot(x, (15 * (1 - x^2)^2)/16, type = "l")
mtext("Biweight kernel", side = 3, line = 0.1)
# graphics.off()
NULL
}