Function boxplot_stats 

pub fn boxplot_stats<F>(
    x: &ArrayView1<'_, F>,
    whis: Option<F>,
    method: QuantileInterpolation,
) -> StatsResult<(F, F, F, F, F, Vec<F>)>
where
    F: Float + NumCast + Debug + Display,

Compute boxplot statistics for a dataset.

Boxplot statistics include the median, quartiles, and whiskers of the data. The whiskers extend to the most extreme data points within a certain range of the box (by default, 1.5 times the interquartile range).

Arguments

• x - Input data
• whis - Range of whiskers as a factor of the IQR (default 1.5)
• method - Interpolation method for quartiles

Returns

• A tuple containing:
  • q1: First quartile
  • q2: Median (second quartile)
  • q3: Third quartile
  • whislo: Lower whisker
  • whishi: Upper whisker
  • outliers: Array of outliers

Examples

use ndarray::array;
use scirs2_stats::boxplot_stats;
use scirs2_stats::QuantileInterpolation;

let data = array![1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 20.0];  // Note the outlier

let (q1, q2, q3, whislo, whishi, outliers) =
    boxplot_stats(&data.view(), Some(1.5), QuantileInterpolation::Linear).unwrap();

assert_eq!(q1, 3.25);  // 25th percentile
assert_eq!(q2, 5.5);   // median
assert_eq!(q3, 7.75);  // 75th percentile
assert_eq!(whislo, 1.0);  // lowest value within 1.5*IQR of Q1
assert_eq!(whishi, 9.0);  // highest value within 1.5*IQR of Q3
assert_eq!(outliers[0], 20.0);  // outlier beyond the whiskers