mulMSE: MulCom Mean Square Error

Description Usage Arguments Details Value Author(s)

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



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