MulCom Mean Square Error

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Description

Computes Mean Square Error for all the experimental points in the datasets in respect to control Should not be called directly

Usage

1
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

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

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

Author(s)

Claudio Isella, claudio.isella@ircc.it