Computes Mean Square Error for all the experimental points in the datasets in respect to control
Should not be called directly
Usage
mulMSE(vector, index, tmp = vector())
Arguments
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
Value
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
Details
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