RosettaCodeData/Task/Statistics-Normal-distribution/Java/statistics-normal-distribut...

79 lines
2.2 KiB
Java

import static java.lang.Math.*;
import static java.util.Arrays.stream;
import java.util.Locale;
import java.util.function.DoubleSupplier;
import static java.util.stream.Collectors.joining;
import java.util.stream.DoubleStream;
import static java.util.stream.IntStream.range;
public class Test implements DoubleSupplier {
private double mu, sigma;
private double[] state = new double[2];
private int index = state.length;
Test(double m, double s) {
mu = m;
sigma = s;
}
static double[] meanStdDev(double[] numbers) {
if (numbers.length == 0)
return new double[]{0.0, 0.0};
double sx = 0.0, sxx = 0.0;
long n = 0;
for (double x : numbers) {
sx += x;
sxx += pow(x, 2);
n++;
}
return new double[]{sx / n, pow((n * sxx - pow(sx, 2)), 0.5) / n};
}
static String replicate(int n, String s) {
return range(0, n + 1).mapToObj(i -> s).collect(joining());
}
static void showHistogram01(double[] numbers) {
final int maxWidth = 50;
long[] bins = new long[10];
for (double x : numbers)
bins[(int) (x * bins.length)]++;
double maxFreq = stream(bins).max().getAsLong();
for (int i = 0; i < bins.length; i++)
System.out.printf(" %3.1f: %s%n", i / (double) bins.length,
replicate((int) (bins[i] / maxFreq * maxWidth), "*"));
System.out.println();
}
@Override
public double getAsDouble() {
index++;
if (index >= state.length) {
double r = sqrt(-2 * log(random())) * sigma;
double x = 2 * PI * random();
state = new double[]{mu + r * sin(x), mu + r * cos(x)};
index = 0;
}
return state[index];
}
public static void main(String[] args) {
Locale.setDefault(Locale.US);
double[] data = DoubleStream.generate(new Test(0.0, 0.5)).limit(100_000)
.toArray();
double[] res = meanStdDev(data);
System.out.printf("Mean: %8.6f, SD: %8.6f%n", res[0], res[1]);
showHistogram01(stream(data).map(a -> max(0.0, min(0.9999, a / 3 + 0.5)))
.toArray());
}
}