Compute a weighted mean.

`weighted.mean(x, w, …)`# S3 method for default
weighted.mean(x, w, …, na.rm = FALSE)

x

an object containing the values whose weighted mean is to be computed.

w

a numerical vector of weights the same length as `x`

giving
the weights to use for elements of `x`

.

…

arguments to be passed to or from methods.

na.rm

a logical value indicating whether `NA`

values in `x`

should be stripped before the computation proceeds.

For the default method, a length-one numeric vector.

This is a generic function and methods can be defined for the first
argument `x`

: apart from the default methods there are methods
for the date-time classes `"POSIXct"`

, `"POSIXlt"`

,
`"difftime"`

and `"Date"`

. The default method will work for
any numeric-like object for which `[`

, multiplication, division
and `sum`

have suitable methods, including complex vectors.

If `w`

is missing then all elements of `x`

are given the
same weight, otherwise the weights coerced to numeric by
`as.numeric`

and normalized to sum to one (if possible: if
their sum is zero or infinite the value is likely to be `NaN`

).

Missing values in `w`

are not handled specially and so give a
missing value as the result. However, zero weights *are* handled
specially and the corresponding `x`

values are omitted from the
sum.

# NOT RUN { ## GPA from Siegel 1994 wt <- c(5, 5, 4, 1)/15 x <- c(3.7,3.3,3.5,2.8) xm <- weighted.mean(x, wt) # }

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