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mean squared deviation This function is obsolete.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This function is obsolete.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