MBoxtest {represent} | R Documentation |
Compute Box's M-statistic
Description
Computes Box's M-statistic according to Section 2.4 in Jouan-Rimbaud et al (1998). This statistic is used to compare the structures of the variance-covariance matrices of two multidimensional data sets. This function is used by the function jrparams().
Usage
MBoxtest(DATA, nmanvars)
Arguments
DATA |
Matrix containing the weighted scores on the principal components (PCs) that have been computed for the two data sets to be compared. The first column of this matrix should contain a group indicator variable, which has a value equal to 1 for the first data set and a value equal to 2 for the second data set. The remaining columns contain the weighted PC scores for the two data sets. |
nmanvars |
Number of manifest variables in the original multidimensional data sets. |
Value
A list with two elements:
MB |
Box's M-statistic |
Sp |
Pooled covariance matrix |
Author(s)
Harmen Draisma
References
Section 2.4 in: Jouan-Rimbaud D, Massart DL, Saby CA, Puel C: Determination of the representativity between two multidimensional data sets by a comparison of their structure. Chemometrics and Intelligent Laboratory Systems 40 (1998) 129-144.
See Also
jrparams()