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This function is obsolete.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 — sum of array elements
• median — median (row median, column median,...) of vector/matrix/array entries
• mean — mean (row mean, column mean) of vector/matrix entries
• nanstdev — standard deviation (ignoring the NANs).
• stdevf — standard deviation

History