| SD | R Documentation |
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).
SD(x, weights = NULL, na.rm = FALSE, ...)
SDN(x, na.rm = FALSE)
x |
a numeric vector or an R object which is coercible to one
by |
weights |
a numerical vector of weights the same length as |
na.rm |
logical. Should missing values be removed? |
... |
further arguments passed to or from other methods. |
Like var this uses denominator n - 1.
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.
var for its square, and mad, the most
robust alternative.
SD(1:2)^2
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