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mean squared deviation This function is obsolete.
y = msd(x) y = msd(x, "r") or m = msd(x, 1) y = msd(x, "c") or m = msd(x, 2)
real or complex vector or matrix
This function computes the mean squared deviation of the values of a
vector or matrix
For a vector or a matrix
y=msd(x) returns in the
y the mean squared deviation of all the entries of
y=msd(x,'r') (or, equivalently,
y=msd(x,1)) is the
rowwise mean squared deviation. It returns in each entry of the row
y the mean squared deviation of each column of
y=msd(x,'c') (or, equivalently,
m=msd(x,2)) is the
columnwise mean squared deviation. It returns in each entry of the
y the mean squared deviation of each row of
This function is obsolete. It is better to use stdev instead of
x = [0.2113249 0.0002211 0.6653811; 0.7560439 0.3303271 0.6283918] m = msd(x) m = msd(x, "r") m = msd(x, "c")
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.
|5.5.0||Function tagged as obsolete. Will be removed in 5.5.1. Please use stdev instead.|
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