/**
* Constructs OscillatorsMode with the given mode and number of particles.
*
* <p>The particle separation is one in this model.
*
* @param mode int
* @param N int
*/
OscillatorsMode(int mode, int N) {
amplitude = Math.sqrt(2.0 / (N + 1));
omega = 2 * Math.sqrt(OMEGA_SQUARED) * Math.abs(Math.sin(mode * Math.PI / N / 2));
wavenumber = Math.PI * mode / (N + 1);
functionDrawer = new FunctionDrawer(this);
functionDrawer.initialize(0, N + 1, 300, false); // draws the initial displacement
functionDrawer.color = Color.LIGHT_GRAY;
}
/**
* Calculates statistical values for a data array.
*
* @param data the data array
* @return the max, min, mean, SD, SE and non-NaN data count
*/
private double[] getStatistics(double[] data) {
double max = -Double.MAX_VALUE;
double min = Double.MAX_VALUE;
double sum = 0.0;
double squareSum = 0.0;
int count = 0;
for (int i = 0; i < data.length; i++) {
if (Double.isNaN(data[i])) {
continue;
}
count++;
max = Math.max(max, data[i]);
min = Math.min(min, data[i]);
sum += data[i];
squareSum += data[i] * data[i];
}
double mean = sum / count;
double sd = count < 2 ? Double.NaN : Math.sqrt((squareSum - count * mean * mean) / (count - 1));
if (max == -Double.MAX_VALUE) max = Double.NaN;
if (min == Double.MAX_VALUE) min = Double.NaN;
return new double[] {max, min, mean, sd, sd / Math.sqrt(count), count};
}