Created for duplicate sample handling in CHIMERA. On input, a numeric or text VV containing data values, and a sample type VV. Sample pairs have types "1" and "2". This routine searches for types in order "1 2 1 2", and calulates the unnormalized relative variance, defined as the sum of the squared differences between duplicates divided by the sum of the squared mean values of the duplicates. (To get the true rel.var., divide by N-1, where N is the number of duplicate pairs used.) Samples out of order, unmatched pairs, or when the sample type does not equal "1" or "2" are ignored.

public static void RelVarDup(
	CGXNETCore gxNetShared,
	CVV data_vv,
	CVV sample_vv,
	ref double rel_var,
	ref int num_dup
)

Public Shared Sub RelVarDup ( 
	gxNetShared As CGXNETCore,
	data_vv As CVV,
	sample_vv As CVV,
	ByRef rel_var As Double,
	ByRef num_dup As Integer
)

public:
static void RelVarDup(
	CGXNETCore^ gxNetShared, 
	CVV^ data_vv, 
	CVV^ sample_vv, 
	double% rel_var, 
	int% num_dup
)

static member RelVarDup : 
        gxNetShared : CGXNETCore * 
        data_vv : CVV * 
        sample_vv : CVV * 
        rel_var : float byref * 
        num_dup : int byref -> unit