# st_deviation

standard deviation (row or column-wise) of vector/matrix entries This function is obsolete.

# stdev

standard deviation (row or column-wise) of vector/matrix entries

## Calling Sequence

    y=st_deviation(x)
                y=st_deviation(x,'r')
                y=st_deviation(x,'c')
                y=stdev(x)
                y=stdev(x,'r')
                y=stdev(x,'c')

## Arguments

x

  real vector or matrix

y

  scalar or vector

## Description

This function is obsolete. It is better to use stdev instead.

st_deviation computes the "sample" standard deviation, that is, it is normalized by N-1, where N is the sequence length.

For a vector or a matrix `x`, `y=st_deviation(x)` returns in the scalar `y` the standard deviation of all the entries of `x`.

`y=st_deviation(x,'r')` (or, equivalently, `y=st_deviation(x,1)`) is the rowwise standard deviation. It returns in each entry of the column vector `y` the standard deviation of each row of `x`.

`y=st_deviation(x,'c')` (or, equivalently, `y=st_deviation(x,2)`) is the columnwise st_deviation. It returns in each entry of the row vector `y` the standard deviation of each column of `x`.

## Examples

    A=[1,2,10;7,7.1,7.01];
    st_deviation(A)
    st_deviation(A,'r')
    st_deviation(A,'c')

## See Also

- sum
- median
- mean
- nanstdev
- stdevf

## History

5.5.0
Function tagged as obsolete. Will be removed in 5.5.1. Please use stdev instead.