55 lines
1.6 KiB
Rust
55 lines
1.6 KiB
Rust
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#[macro_use] extern crate average;
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extern crate core;
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use core::iter::Iterator;
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use average::WeightedAverage;
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#[test]
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fn trivial() {
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let mut a = WeightedAverage::new();
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assert_eq!(a.sum_weights(), 0.);
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a.add(1.0, 1.0);
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assert_eq!(a.mean(), 1.0);
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assert_eq!(a.sum_weights(), 1.0);
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assert_eq!(a.population_variance(), 0.0);
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assert_eq!(a.error(), 0.0);
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a.add(1.0, 1.0);
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assert_eq!(a.mean(), 1.0);
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assert_eq!(a.sum_weights(), 2.0);
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assert_eq!(a.population_variance(), 0.0);
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assert_eq!(a.error(), 0.0);
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}
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#[test]
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fn simple() {
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let a: WeightedAverage = (1..6).map(|x| (f64::from(x), 1.0)).collect();
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assert_eq!(a.mean(), 3.0);
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assert_eq!(a.sum_weights(), 5.0);
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assert_eq!(a.sample_variance(), 2.5);
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assert_almost_eq!(a.error(), f64::sqrt(0.5), 1e-16);
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}
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#[test]
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fn reference() {
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// Example from http://www.analyticalgroup.com/download/WEIGHTED_MEAN.pdf.
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let values = &[5., 5., 4., 4., 3., 4., 3., 2., 2., 1.];
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let weights = &[1.23, 2.12, 1.23, 0.32, 1.53, 0.59, 0.94, 0.94, 0.84, 0.73];
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let a: WeightedAverage = values.iter().zip(weights.iter())
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.map(|(x, w)| (*x, *w)).collect();
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assert_almost_eq!(a.mean(), 3.53486, 1e-5);
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assert_almost_eq!(a.sample_variance(), 1.8210, 1e-4);
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assert_eq!(a.sum_weights(), 10.47);
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assert_almost_eq!(a.error(), f64::sqrt(0.1739), 1e-4);
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}
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#[test]
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fn error_corner_case() {
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let values = &[1., 2.];
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let weights = &[0.5, 0.5];
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let a: WeightedAverage = values.iter().zip(weights.iter())
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.map(|(x, w)| (*x, *w)).collect();
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assert_eq!(a.error(), 0.5);
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}
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