Examples of org.apache.commons.math3.stat.descriptive.rank.Median.evaluate()

Package org.apache.commons.math3.stat.descriptive.rank

Class org.apache.commons.math3.stat.descriptive.rank.Median

Examples of org.apache.commons.math3.stat.descriptive.rank.Median.evaluate()

org.apache.commons.math3.stat.descriptive.rank.Median.evaluate()
Returns the result of evaluating the statistic over the input array, using the supplied weights. @param values input array @param weights array of weights @return the value of the weighted statistic applied to the input array @throws MathIllegalArgumentException if either array is null, lengthsdo not match, weights contain NaN, negative or infinite values, or weights does not include at least on positive value

        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance(false);
        return variance.evaluate(values);
    }
}

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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance(false);
        return variance.evaluate(values);
    }
}

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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance();
        return variance.evaluate(values);
    }
}

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        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance(false);
        return variance.evaluate(values);
    }
}

View Full Code Here

        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance();
        return variance.evaluate(values);
    }
}

View Full Code Here

        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance();
        return variance.evaluate(values);
    }
}

View Full Code Here

        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance(false);
        return variance.evaluate(values);
    }
}

View Full Code Here

        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance();
        return variance.evaluate(values);
    }
}

View Full Code Here

        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance();
        return variance.evaluate(values);
    }
}

View Full Code Here

        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        Variance variance = new Variance(false);
        return variance.evaluate(values);
    }
}

View Full Code Here

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