Crate std_dev

Re-exports

• pub use percentile::percentile_rand;
  percentile-rand
• pub use percentile::median;
• pub use percentile::percentile;
• pub use percentile::Fraction;
• pub use regression::best_fit_ols as regression_best_fit;
  ols
• pub use regression::Determination;
• pub use regression::Predictive;

Modules

• percentile
  Percentile / median calculations.
• regressionregression
  Various regression models to fit the best line to your data. All written to be understandable.

Structs

• ClusterList
  A list of clusters.
• F64OrdHash
  F64 wrapper that implements Ord and Hash.
• OwnedClusterList
  Owned variant of ClusterList. Use Self::borrow to get a ClusterList. The inner slice is accessible through the Deref and DerefMut, which means you can use this as a mutable slice.
• PercentilesOutput
  Returned from percentiles_cluster and similar functions.
• StandardDeviationOutput
  Returned from standard_deviation and similar functions.

Traits

• Mean
  Helper-trait for types used by mean.
• StandardDeviation
  Helper-trait for types used by standard_deviation.

Functions

• mean
  Mean of values.
• mean_cluster
  Mean of clustered values.
• percentiles_cluster
  Get a collection of percentiles from values.
• standard_deviation
  Get the standard deviation of values. The mean is also returned from this, because it’s required to compute the standard deviation.
• standard_deviation_cluster
  Get the standard deviation of values. The mean is also returned from this, because it’s required to compute the standard deviation.

Type Definitions

• Cluster

  As all algorithms are executed in linear time now, this is not as useful, but nevertheless an interesting feature. If you already have clustered data, this feature is great.