Nothing
## based on the stat_smooth() function in ggplot2 package.
panel.smoother <-
function(x, y, form = y ~ x, method = "loess", ...,
se = TRUE, level = 0.95, n = 100,
col = plot.line$col, col.se = col,
lty = plot.line$lty, lwd = plot.line$lwd,
alpha = plot.line$alpha,
alpha.se = 0.25, border = NA,
## ignored (do not pass to method()):
subscripts, group.number, group.value,
type, col.line, col.symbol, fill,
pch, cex, font, fontface, fontfamily)
{
plot.line <- trellis.par.get("plot.line")
if (!missing(col.line))
col <- col.line
## allow 'form' to be passed as the first argument
missing.x <- missing(x)
if (!missing.x && inherits(x, "formula")) {
form <- x
missing.x <- TRUE
}
## use 'x' and 'y' if given
## otherwise try to find them in the formula environment
if (missing.x)
x <- environment(form)$x
if (missing(y))
y <- environment(form)$y
ok <- is.finite(x) & is.finite(y)
if (sum(ok) < 1)
return()
x <- as.numeric(x)[ok]
y <- as.numeric(y)[ok]
mod <- do.call(method,
c(alist(form, data = list(x = x, y = y)),
list(...)))
## use the limits of the data, or panel limits, whichever is smaller
lims <- current.panel.limits()
xrange <- c(max(min(lims$x), min(x)), min(max(lims$x), max(x)))
xseq <- seq(xrange[1], xrange[2], length = n)
pred <- predict(mod, data.frame(x = xseq), se = se)
if (se) {
std <- qnorm(level/2 + 0.5)
panel.polygon(x = c(xseq, rev(xseq)),
y = c(pred$fit - std * pred$se,
rev(pred$fit + std * pred$se)),
col = col.se, alpha = alpha.se, border = border)
pred <- pred$fit
}
panel.lines(xseq, pred, col = col, alpha = alpha,
lty = lty, lwd = lwd)
}
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