Le 2012-10-09 14:18, joni8a a écrit :
Hello,
thank you for your advise. I found out that I made something wrong
creating
the matrix, so I decided to use
regression.newSampleData(dataSet, 3, 2);
instead of:
regression.newSampleData(y, x);
So I wrote a little program to test it:
public static void testTwo()
{
OLSMultipleLinearRegression regression = new
OLSMultipleLinearRegression();
double[] dataSet = new
double[]{11.0,2.0,4.0,12.0,3.5,2.1,6.3,6.9,0.0};
regression.newSampleData(dataSet, 3, 2);
System.out.println("R
Squared:"+regression.calculateTotalSumOfSquares());
}
Everything works fine, so I went on and tried this way of the
regression in
my code like this:
String query = "SELECT "+yData;
for(int i=0;i<(xData.size());i++)
{
query = query+","+xData.get(i);
}
query = query + " FROM APP."+stock.stockName;
System.out.println("QUERY:"+query);
PreparedStatement ps =
DBHelperClass.conn.prepareStatement(query,
ResultSet.TYPE_SCROLL_INSENSITIVE,
ResultSet.CONCUR_READ_ONLY);
ResultSet rsData =
DBHelperClass.getSingelton().getDataFromDB(ps);
rsData.last();
int numOfVars = 1+(xData.size());
int dataSize = (rsData.getRow()*numOfVars);
rsData.beforeFirst();
double[] dataSet = new double[dataSize] ;
int i = 0;
while(rsData.next())
{
for(int s=1;s<(numOfVars+1);s++)
{
dataSet[i] = Double.parseDouble(rsData.getString(s));
i++;
}
}
OLSMultipleLinearRegression regression = new
OLSMultipleLinearRegression();
int nvars = numOfVars-1;
regression.newSampleData(dataSet, numOfVars, nvars);
I am not sure but shouldn't the previous line read:
regression.newSampleData(dataSet, rsData.getRow(),
xData.size());
best regards,
Luc
System.out.println("REGRESSION
CALCS:"+regression.calculateAdjustedRSquared());
But I get this error:
Exception in thread "AWT-EventQueue-0"
org.apache.commons.math3.exception.DimensionMismatchException: 294 !=
9
I dont understand why.... I double checked every variable. I ask for
3
different data, with each 98 entries. So all in all my array needs a
size
of: 294 -> Checked this, and it works fine.
Any hints what I could check?
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