This function computes the standard deviation of the values in
x.
If na.rm is TRUE then missing values are removed before
computation proceeds. SDn returns the uncorrected sample standard deviation (which is biased estimator for the sample standard deviation).

Usage

SD(x, weights = NULL, na.rm = FALSE, ...)

SDN(x, na.rm = FALSE)

Arguments

x

a numeric vector or an R object which is coercible to one
by as.double(x).

weights

a numerical vector of weights the same length as x giving the weights to use for elements of x.

na.rm

logical. Should missing values be removed?

...

further arguments passed to or from other methods.

The standard deviation of a zero-length vector (after removal of
NAs if na.rm = TRUE) is not defined and gives an error.
The standard deviation of a length-one vector is NA.

See Also

var for its square, and mad, the most
robust alternative.