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This function computes the standard deviation of the values in x. If na.rm is TRUE then missing values are removed before computation proceeds.
x
na.rm
TRUE
SD(x, weights = NULL, na.rm = FALSE, ...)
a numeric vector or an R object which is coercible to one by as.double(x).
as.double(x)
a numerical vector of weights the same length as x giving the weights to use for elements of x.
logical. Should missing values be removed?
further arguments passed to or from other methods.
Like var this uses denominator \(n - 1\).
var
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.
NA
na.rm = TRUE
var for its square, and mad, the most robust alternative.
mad
SD(1:2)^2
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