File: std.mdc

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 Usage

Computes the standard deviation of an array along a given
dimension. The general syntax for its use is

    y = std(x,d)

where x is an n-dimensions array of numerical type. The
output is of the same numerical type as the input. The
argument d is optional, and denotes the dimension along
which to take the variance. The output y is the same size as
x, except that it is singular along the mean direction. So,
for example, if x is a 3 x 3 x 4 array, and we compute the
mean along dimension d=2, then the output is of size 3 x 1 x
4.


 Example

The following piece of code demonstrates various uses of the
std function

  --> A = [5,1,3;3,2,1;0,3,1]

  A =
   5 1 3
   3 2 1
   0 3 1

We start by calling std without a dimension argument, in
which case it defaults to the first nonsingular dimension
(in this case, along the columns or d = 1).

  --> std(A)

  ans =
      2.5166    1.0000    1.1547

Next, we take the variance along the rows.

  --> std(A,2)

  ans =
      2.0000
      1.0000
      1.5275


* FreeMat_Documentation
* Elementary_Functions
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