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

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

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

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

org.apache.commons.math3.stat.descriptive.rank.Percentile.evaluate()
Returns the result of evaluating the statistic over the stored data.
The stored array is the one which was set by previous calls to
@param p the percentile value to compute @return the value of the statistic applied to the stored data

        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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