|
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 |
haarhist <- function(dat, j = 2)
{
xgrid <- (0:10000)/2^j
xgrid <- xgrid[xgrid >= min(dat)]
xgrid <- xgrid[xgrid <= max(dat)]
xgrid <- c(xgrid[1] - 2^( - j), xgrid, xgrid[length(xgrid)] + 2^( - j))
cjk <- rep(0, length(xgrid) - 1)
for(i in 1:length(cjk))
cjk[i] <- ((sum(dat <= xgrid[i + 1]) - sum(dat <= xgrid[i])) *
2^j)/length(dat)
plot(rep(xgrid, rep(2, length(xgrid))), c(0, rep(cjk, rep(2, length(cjk))),
0), type = "l")
mtext(side = 3, line = 0.1, paste("j = ", j))
NULL
}