Crates.io | confi |
lib.rs | confi |
version | |
source | src |
created_at | 2024-11-06 18:13:57.86344 |
updated_at | 2024-12-11 13:47:10.13378 |
description | confidence intervals and significance levels for statistical computation |
homepage | |
repository | https://github.com/cgubbin/confi |
max_upload_size | |
id | 1438658 |
Cargo.toml error: | TOML parse error at line 18, column 1 | 18 | autolib = false | ^^^^^^^ unknown field `autolib`, expected one of `name`, `version`, `edition`, `authors`, `description`, `readme`, `license`, `repository`, `homepage`, `documentation`, `build`, `resolver`, `links`, `default-run`, `default_dash_run`, `rust-version`, `rust_dash_version`, `rust_version`, `license-file`, `license_dash_file`, `license_file`, `licenseFile`, `license_capital_file`, `forced-target`, `forced_dash_target`, `autobins`, `autotests`, `autoexamples`, `autobenches`, `publish`, `metadata`, `keywords`, `categories`, `exclude`, `include` |
size | 0 |
A simple crate for dealing with confidence levels, significance levels and confidence intervals.
The significance level describes the evidence present in a sample under test which allows for rejection of the null hypothesis (the state when two outcomes or possibilities are the same). In a measurement model the null hypothesis under test is typically whether a given reading is indistinguishable from another, or whether it is indistinguishable from the system response at zero stimulus (the minimum detectable value).
use confi::SignificanceLevel;
let from_fraction = SignificanceLevel::fractional(0.1).unwrap();
let from_percentage = SignificanceLevel::percentage(10.0).unwrap();
assert_eq!(from_fraction, from_percentage);
The confidence level describes the probability of obtaining the same result in repeated data collection processes.
use confi::ConfidenceLevel;
let from_fraction = ConfidenceLevel::fractional(0.1).unwrap();
let from_percentage = ConfidenceLevel::percentage(10.0).unwrap();
assert_eq!(from_fraction, from_percentage);
A confidence interval is a range of results which can be deemed to contain a measured value to a given confidence level.
use confi::{ConfidenceLevel, ConfidenceInterval, Confidence};
let from_fraction = ConfidenceLevel::fractional(0.1).unwrap();
let interval = ConfidenceInterval::new(1.0..=3.0, from_fraction);
assert!(interval.contains(2.0));