tilefitloess <-
function(y,x,ci,span=0.95) {
dat <- na.omit(cbind(y,x))
if (length(dat)>2) {
dat <- sortmc(dat,2,decreasing=FALSE)
x <- dat[,2]
y <- dat[,1]
result <- loess(y~x,span=span)
fit <- list(x=x)
if (!is.null(ci)&&(length(na.omit(ci))>0)) {
fit$y <- predict(result,se=TRUE)$fit
for (i in 1:length(ci)) {
fit$lower <- cbind(fit$lower, fit$y + qt((1-ci[i])/2,10000)*predict(result,se=TRUE)$se.fit )
fit$upper <- cbind(fit$upper, fit$y - qt((1-ci[i])/2,10000)*predict(result,se=TRUE)$se.fit )
}
} else {
fit$y <- predict(result)
}
} else {
warning("Error in loess fit. Insufficient datapoints for bivariate fit.")
fit <- NULL
}
fit
}
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