- Aide Scilab
- Statistiques
- cdfbet
- cdfbin
- cdfchi
- cdfchn
- cdff
- cdffnc
- cdfgam
- cdfnbn
- cdfnor
- cdfpoi
- cdft
- median
- st_deviation
- center
- wcenter
- cmoment
- correl
- covar
- ftest
- ftuneq
- geomean
- harmean
- iqr
- mad
- mean
- meanf
- moment
- msd
- mvvacov
- nancumsum
- nand2mean
- nanmax
- nanmean
- nanmeanf
- nanmedian
- nanmin
- nanstdev
- nansum
- nfreq
- pca
- perctl
- princomp
- quart
- regress
- sample
- samplef
- samwr
- show_pca
- stdevf
- strange
- tabul
- thrownan
- trimmean
- variance
- variancef
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
However, this page did not exist in the previous stable version.
mvvacov
computes variance-covariance matrix
Calling Sequence
v=mvvacov(x)
Arguments
- x
real or complex vector or matrix
Description
This function computes v, the matrix of variance-covariance of the "tableau" x (x is a numerical matrix nxp) who gives the values of p variables for n individuals: the (i,j) coefficient of v is v(i,j)=E(xi-xibar)(xj-xjbar), where E is the first moment of a variable, xi is the i-th variable and xibar the mean of the xi variable.
Examples
x=[0.2113249 0.0002211 0.6653811;0.7560439 0.4453586 0.6283918] v=mvvacov(x)
Authors
Carlos Klimann
Bibliography
Saporta, Gilbert, Probabilites, Analyse des Donnees et Statistique, Editions Technip, Paris, 1990. Mardia, K.V., Kent, J.T. & Bibby, J.M., Multivariate Analysis, Academic Press, 1979.
| << msd | Statistiques | nancumsum >> |