public static List <List <double> > GetNormalizedandWeightedLists(
string subIndNormType, double startValue, bool scaleUp4Digits,
List <double> weights, List <List <double> > trends)
{
List <List <double> > normTrends = new List <List <double> >();
int i = 0;
for (i = 0; i < trends[0].Count; i++)
{
//the columns are being normalized
double[] colArray = GetDoubleArrayColumn(i, trends);
Vector <double> normTrend = Shared.GetNormalizedVector(subIndNormType,
weights.Sum(), scaleUp4Digits, colArray);
normTrends.Add(normTrend.ToList());
}
//but the normalized columns have to be returned back to the original rows in trends
//and weighted
List <List <double> > normTrends2 = new List <List <double> >();
i = 0;
for (i = 0; i < normTrends[0].Count; i++)
{
double[] colArray = GetDoubleArrayColumn(i, normTrends);
List <double> normRow = new List <double>();
//weighting is transitive math, shouldn't matter if before or after normaliz
for (int j = 0; j < colArray.Count(); j++)
{
if (weights.Count > i)
{
normRow.Add(colArray[j] * weights[i]);
}
}
normTrends2.Add(normRow);
}
return(normTrends2);
}