for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
m_ResultMatrix.setStdDev(j, i, pairedStats.yStats.stdDev);
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
m_ResultMatrix.setStdDev(j, i, pairedStats.yStats.stdDev);
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i + 1) * n); matrix.setStdDev(n, i, ((double) (i + 1) * n) / 100); if (i == n) { if (i % 2 == 1) {
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i+1)*n); matrix.setStdDev(n, i, ((double) (i+1)*n) / 100); if (i == n) { if (i % 2 == 1)
for (n = 0; n < matrix.getColCount(); n++) { matrix.setMean(n, i, (i + 1) * n); matrix.setStdDev(n, i, ((double) (i + 1) * n) / 100); if (i == n) { if (i % 2 == 1) {