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
NA
s 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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