Computes the weighted standard deviation of a distribution.
weighted.sd(x, weights = NULL, na.rm = FALSE)
Arguments
- x
numeric vector
- weights
numeric vector of weights. If NULL (default), uniform weights (i.e. all equal to 1) are used.
- na.rm
logical, indicating whether NA values should be silently removed before the computation proceeds. Default is FALSE.
Value
a length-one numeric vector
Examples
data(Movies)
weighted.sd(Movies$Critics, weights = rep(c(.8,1.2), 500))
#> [1] 0.8477855