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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mean squared deviation This function is obsolete.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 | This function is obsolete.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 | ||
| << covar | Descriptive Statistics | mvvacov (deprecated) >> |