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Scilab Help >> Statistics > Mean Central Tendency > wcenter

wcenter

center and weight

Syntax

s=wcenter(x)
s=wcenter(x,'r') or s=wcenter(x,1)
s=wcenter(x,'c') or s=wcenter(x,2)

Arguments

x: real or complex vector or matrix

Description

This function computes s, the weighted and centred version of the numerical matrix x.

For a vector or a matrix x, s=wcenter(x) returns in the (i,j) coefficient of the matrix s the value (x(i,j)-xbar)/sigma, where xbar is the mean of the values of the coefficients of x and sigma his standard deviation.

s=wcenter(x,'r') (or, equivalently, s=wcenter(x,1)) is the rowwise centre reduction of the values of x. It returns in the entry s(i,j) the value (x(i,j)-xbarv(j))/sigmav(j) with xbarv(j) the mean of the values of the j column and sigmav(j) the standard deviation of the j column of x.

s=wcenter(x,'c') (or, equivalently, s=wcenter(x,2)) is the columnwise centre reduction of the values of x. It returns in the entry s(i,j) the value (x(i,j)-xbarh(i))/sigmah(i) with xbarh(i) the mean of the values of the i row and sigmah(i) the standard deviation of the i row of x.

Examples

x=[0.2113249 0.0002211 0.6653811;
   0.7560439 0.3303271 0.6283918]
s=wcenter(x)
s=wcenter(x,'r')
s=wcenter(x,'c')

See also

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