mulMSE {Mulcom} | R Documentation |
Computes Mean Square Error for all the experimental points in the datasets in respect to control Should not be called directly
mulMSE(vector, index, tmp = vector())
vector |
a numeric vector with data mesurements |
index |
a numeric vector with the labels of the samples. 0 are the control samples. number must be progressive |
tmp |
a vector |
mulMSE
An internal function that should not be called directly. It
calculates within group means square error for the values defined in the x vector
according to the index class
vector
vector |
a numeric vector with data measurements |
index |
a numeric vector with the labels of the samples. 0 are the control samples. number must be progressive |
tmp |
a vector |
Claudio Isella, claudio.isella@ircc.it