R/trviews.R

trviews <-
function(x, Y, ii = 1)
{
# Trimmed views for 90, 80, ... 0 percent
# trimming.   Increase ii if 90% trimming is too harsh.
# Allows visualization of  m and crudely estimation of
# c beta in models of the form y = m(x^T beta) + e.
# Workstation: activate a graphics device
# with commands "X11()" or "motif()."
# R needs command "library(lqs)."
# Advance the view with the right mouse button and
# in R, highight "stop."
        x <- as.matrix(x)
	out <- cov.mcd(x)
	center <- out$center
	cov <- out$cov
	rd2 <- mahalanobis(x, center, cov)
	labs <- c("90%", "80%", "70%", "60%", "50%", "40%", "30%",
     "20%","10%","0%")
	tem <- seq(0.1, 1, 0.1)
	for(i in ii:10) {
		val <- quantile(rd2, tem[i])
		b <- lsfit(x[rd2 <= val,  ], Y[rd2 <= val])$coef
		ESP <- x %*% b[-1]
		plot(ESP, Y)
		title(labs[i])
		identify(ESP, Y)
		print(b)
	}
}
musto101/wilcox_R documentation built on May 23, 2019, 10:52 a.m.