#statistical-analysis #scientific-computing #mean #numbers #vector #standard #deviation

oscirs_stats

Statistical analysis crate for scientific computing

4 releases (2 breaking)

0.3.0 Aug 10, 2023
0.2.0 Jun 8, 2023
0.1.1 Jun 5, 2023
0.1.0 Jun 5, 2023

#657 in Science


Used in oscirs

Apache-2.0

7KB
96 lines

oscirs_stats

crates.io

A statistical analysis crate for Rust

Description

This crate allows for some basic statistical analysis such as finding the mean, standard deviation or five number summary of a data vector.

Use

To get some quick data summaries, start by importing the following quick-start module and declaring a data vector.

use oscirs_stats::summaries_core::*;

let input_vec: Vec<f32> = vec![6.0, 7.0, 15.0, 36.0, 39.0, 40.0, 41.0, 42.0, 43.0, 47.0, 49.0];

To get the mean and standard deviation of the data, call the normal() method.

println!("{:?}", input_vec.normal());

To get the sample mean, sample standard deviation, and sample size, call the sample() method.

println!("{:?}", input_vec.sample());

To get the five-number summary of the data, call the five_number() method.

println!("{:?}", input_vec.five_number());

Each of these methods returns a struct that wraps all the data into a clean type, with public fields that can be read at any time.

No runtime deps