pub fn test<T: Ord + Clone>(xs: &[T], ys: &[T], confidence: f64) -> Result<TestOutcome, TestError> {
    if xs.len() < 8 || ys.len() < 8 {
        return Err(TestError::SequenceHasFewerThanEightElements);
    }
    if confidence.is_nan() || !(0.0 < confidence && confidence < 1.0) {
        return Err(TestError::ConfidenceMustBeBetweenZeroAndOneExclusive);
    }

    let statistic = calculate_statistic_allocating(xs, ys)?;
    let critical_value = calculate_critical_value(xs.len(), ys.len(), confidence)?;

    let reject_probability = calculate_reject_probability(statistic, xs.len(), ys.len())?;
    let is_rejected = reject_probability > confidence;

    Ok(TestOutcome {
        is_rejected,
        statistic,
        reject_probability,
        critical_value,
        confidence,
    })
}
/// Perform a two sample Kolmogorov-Smirnov test on given samples.
///
/// The samples must have length > 7 elements for the test to be valid.
/// The confidence must be greater than 0.0 and less than 1.0
///
/// # Examples
///
/// ```
/// extern crate kolmogorov_smirnov as ks;
///
/// let xs = vec!(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12);
/// let ys = vec!(12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0);
/// let confidence = 0.95;
///
/// let result = ks::test(&xs, &ys, confidence).unwrap();
///
/// if result.is_rejected {
///     println!("{:?} and {:?} are not from the same distribution with probability {}.",
///       xs, ys, result.reject_probability);
/// }
/// ```
Perform a two sample Kolmogorov-Smirnov test on given samples.
The samples must have length > 7 elements for the test to be valid.
The confidence must be greater than 0.0 and less than 1.0
Perform a two sample Kolmogorov - Smirnov test on given samples . The samples must have length > 7 elements for the test to be valid . The confidence must be greater than 0 . 0 and less than 1 . 0
pub fn test<T: Ord + Clone>(xs: &[T], ys: &[T], confidence: f64) -> Result<TestOutcome, TestError> {
    if xs.len() < 8 || ys.len() < 8 {
        return Err(TestError::SequenceHasFewerThanEightElements);
    }
    if confidence.is_nan() || !(0.0 < confidence && confidence < 1.0) {
        return Err(TestError::ConfidenceMustBeBetweenZeroAndOneExclusive);
    }
    let statistic = calculate_statistic_allocating(xs, ys)?;
    let critical_value = calculate_critical_value(xs.len(), ys.len(), confidence)?;
    let reject_probability = calculate_reject_probability(statistic, xs.len(), ys.len())?;
    let is_rejected = reject_probability > confidence;
    Ok(TestOutcome {
        is_rejected,
        statistic,
        reject_probability,
        critical_value,
        confidence,
    })
}
pub fn test < T : Ord + Clone > ( xs : & [ T ] , ys : & [ T ] , confidence : f64 ) -> Result < TestOutcome , TestError > { if xs . len ( ) < 8 || ys . len ( ) < 8 { return Err ( TestError :: SequenceHasFewerThanEightElements ) ; } if confidence . is_nan ( ) || ! ( 0.0 < confidence && confidence < 1.0 ) { return Err ( TestError :: ConfidenceMustBeBetweenZeroAndOneExclusive ) ; } let statistic = calculate_statistic_allocating ( xs , ys ) ? ; let critical_value = calculate_critical_value ( xs . len ( ) , ys . len ( ) , confidence ) ? ; let reject_probability = calculate_reject_probability ( statistic , xs . len ( ) , ys . len ( ) ) ? ; let is_rejected = reject_probability > confidence ; Ok ( TestOutcome { is_rejected , statistic , reject_probability , critical_value , confidence , } ) }
Perform a two sample Kolmogorov-Smirnov test on given samples.
Perform a two sample Kolmogorov - Smirnov test on given samples .
xs
&[T]
ys
&[T]
confidence
f64
xs
&[T]
ys
&[T]
confidence
f64
examples
```
extern crate kolmogorov_smirnov as ks.



let result = ks::test(&xs, &ys, confidence).unwrap().

if result.is_rejected {
println!("{:?} and {:?} are not from the same distribution with probability {}.",
xs, ys, result.reject_probability);
}
```
` ` ` extern crate kolmogorov_smirnov as ks . let result = ks :: test ( &xs &ys confidence ) . unwrap () . if result . is_rejected { println! ( " { : ? } and { : ? } are not from the same distribution with probability {} . " xs ys result . reject_probability ) ; } ` ` `