xy.unique.x | R Documentation |
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.
xy.unique.x(x, y, w, fun.mean = mean, ...)
x , y |
numeric vectors of same length. Alternatively, |
w |
numeric vector of non-negative weights – or missing which corresponds to all weights equal. |
fun.mean |
the mean |
... |
optional arguments all passed to |
Numeric matrix with three columns, named
x
, y
and w
with unique x
values and
corresponding y
and weights w
.
Martin Maechler, 8 Mar 1993.
e.g., smooth.spline
uses something like
this internally.
## simple example:
x <- c(1,1,2,4,3,1)
y <- 1:6
rbind(x, y)
xy.unique.x(x, y)
# x y w
# 1 1 3 3
# 2 2 3 1
# 3 4 4 1
# 4 3 5 1
xy.unique.x(x, y, fromLast = TRUE)
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