descriptive - Module

`fn mean(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:9

`fn weighted_mean(data: &[f64], weights: &[f64]) -> Option<f64>`

Source: descriptive.joule:20

`fn geometric_mean(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:41

`fn harmonic_mean(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:57

`fn median(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:73

`fn mode(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:91

`fn variance(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:110

`fn population_variance(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:116

`fn variance_impl(data: &[f64], ddof: usize) -> Option<f64>`

Source: descriptive.joule:120

`fn std_dev(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:135

`fn population_std_dev(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:141

`fn coefficient_of_variation(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:147

`fn standard_error(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:160

`fn skewness(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:167

`fn kurtosis(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:190

`fn quantile(data: &[f64], q: f64) -> Option<f64>`

Source: descriptive.joule:216

`fn quantiles(data: &[f64], qs: &[f64]) -> Option<Vec<f64>>`

Source: descriptive.joule:238

`fn iqr(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:266

`fn range(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:274

`fn min(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:286

`fn max(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:292

`fn sum(data: &[f64]) -> f64`

Source: descriptive.joule:298

`fn product(data: &[f64]) -> f64`

Source: descriptive.joule:304

`fn mean_absolute_deviation(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:310

`fn median_absolute_deviation(data: &[f64]) -> Option<f64>`

Source: descriptive.joule:318

`fn five_number_summary(data: &[f64]) -> Option<(f64, f64, f64, f64, f64)>`

Source: descriptive.joule:326

`fn z_scores(data: &[f64]) -> Option<Vec<f64>>`

Source: descriptive.joule:338

`fn outliers_iqr(data: &[f64], k: f64) -> Option<Vec<f64>>`

Source: descriptive.joule:351

`fn covariance(x: &[f64], y: &[f64]) -> Option<f64>`

Source: descriptive.joule:369

`struct RunningStats`

Running/online mean and variance (Welford's algorithm)

Source: descriptive.joule:386

`fn new() -> Self`

Source: descriptive.joule:395

`fn push(&mut self, value: f64)`

Source: descriptive.joule:407

`fn count(&self) -> u64`

Get count

Source: descriptive.joule:419

`fn mean(&self) -> Option<f64>`

Get mean

Source: descriptive.joule:424

`fn variance(&self) -> Option<f64>`

Get variance

Source: descriptive.joule:433

`fn std_dev(&self) -> Option<f64>`

Get standard deviation

Source: descriptive.joule:442

`fn min(&self) -> Option<f64>`

Get minimum

Source: descriptive.joule:447

`fn max(&self) -> Option<f64>`

Get maximum

Source: descriptive.joule:456

`fn merge(&mut self, other: &RunningStats)`

Merge another RunningStats

Source: descriptive.joule:465

`struct Histogram`

Histogram bins

Source: descriptive.joule:483

`fn new(data: &[f64], num_bins: usize) -> Option<Self>`

Source: descriptive.joule:491

`fn bins(&self) -> &[usize]`

Source: descriptive.joule:521

`fn edges(&self) -> &[f64]`

Source: descriptive.joule:525

`fn density(&self, total: usize) -> Vec<f64>`

Source: descriptive.joule:529