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Calculate statistics iteratively
This PR implements `Extend` trait on `Mean`, `Variance` and `Skewness`, etc.
I currently have an Iterator, that yields two measurable quantities of a system. If one quantity is already measured, measuring the other is way less effort, so it makes sense...
Hi, I'd like to use `concatenate!()` and obtain a a public type, but I could not find a way. Do you envision a simple way to do this? Thanks
Deserializing does not currently check for all invalid inputs. Also see #6 and #7.
Fixed by adding a cfg flag to not run it on i686. ``` Full test output: ---- quantile::reference stdout ---- thread 'quantile::reference' panicked at 'assertion failed: `(left == right)` left:...
It would be useful if Merge was implemented for common containers such as HashMap and if it could be derived for structs. ``` #[derive(Default, Merge) struct A { hello: Mean,...
Add config option so that the benches can be executed with the various features turned on or off. Without this I get this error: ``` [capitol@batia average]$ cargo bench --no-default-features...
When the number of samples is less then required, methods from this crate usually returns `NaN`. It's correct, but requires user to check the result or verify the number of...