Java Utililty Methods stddev

List of utility methods to do stddev

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Description

The list of methods to do stddev are organized into topic(s).

Method

doublegetStandardDeviation(double meanValue, ArrayList values)
get Standard Deviation 
if (values.isEmpty()) {
    return -1.0;
double sum = 0.0;
for (Double value : values) {
    sum += Math.pow(meanValue - value, 2.0);
return Math.sqrt(sum / values.size());
...
doublestandardDeviation(double[] data)
standard Deviation 
return standardDeviation(data, mean(data));
doublestandardDeviation(double[] data, int opt)
Compute the standard deviation of the given data, this function can deal with NaNs 
if (opt == 0)
    return Math.sqrt(variance(data, opt));
else
    return Math.sqrt(variance(data, opt));
Doublestd(Collection dist, boolean populationStd)
std 
return std(mean(dist), dist, populationStd);
doublestd(double a[])
std 
double V = var(a);
return Math.sqrt(V);
doublestd(double[] a)
Returns the standard variance. 
return std(a, a.length);
doublestd(double[] arr)
std 
double m = mean(arr);
double sum = 0.0;
for (int i = 0; i < arr.length; ++i) {
    sum += Math.pow(arr[i] - m, 2);
return Math.sqrt(sum / arr.length);
doublestd(double[] array)
Returns the standard deviation of an array using the Welford's method. 
if (array.length == 0)
    return 0;
double M = 0.0;
double S = 0.0;
int k = 1;
for (double value : array) {
    double tmpM = M;
    M += (value - tmpM) / k;
...
doublestd(final double[] vec)
Computes the standard deviation of the given values, that is the square root of the sample variance. 
assert vec != null;
return Math.sqrt(var(vec));
doublestd(final double[] x, final int begin, final int end)
std 
int N = 0;
double mean = 0d;
for (int i = Math.max(0, begin); i < Math.min(x.length - 1, end); i++) {
    mean += x[i];
    N++;
mean /= N;
double std = 0d;
...