Man Scilab

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

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')

Parameters

• x : real vector or matrix
• y : scalar or vector

Description

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 ,  

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