| weighted.mean {stats} | R Documentation |
Compute a weighted mean.
weighted.mean(x, w, ...) ## Default S3 method: 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 |
... |
arguments to be passed to or from methods. |
na.rm |
a logical value indicating whether |
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, as from R 2.11.0 zero weights
are handled specially and the corresponding x values are
omitted from the sum.
For the default method, a length-one numeric vector.
## 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)