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st_deviation(1) Scilab Function st_deviation(1)
NAME
st_deviation - 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')
PARAMETERS
x : real vector or matrix
y : scalar or vector
DESCRIPTION
st_deviation computes the "sample" standard deviation, that is, it is nor-
malized 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,2)) is the row-
wise 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,1)) is the
columnwise st_deviation. It returns in each entry of the row vector y the
standard deviation of each column of x.
EXAMPLE
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
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