Given smoother data $(x_i, y_i)$ and maybe weights $w_i$,
with multiple $x_i$, use the unique x values, replacing the
$y$'s by their (weighted) mean and updating the weights
accordingly.
Usage
xy.unique.x(x, y, w, fun.mean = mean)
Arguments
x,y
numeric vectors of same length. Alternatively, x
can be a xy like structure, see xy.coords.
w
numeric vector of non-negative weights -- or missing which
corresponds to all weights equal.