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Comment by anonfunction | Hacker News Reader

Hey Hackers, this is my first full-featured Golang package. I took a lot of care to ensure it was well tested and provided a lot of common functions that I felt were missing from the standard library. In addition it has a lot of other statistics functionality like regressions, outliers, correlation and more.

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The coverage seems to be only line-based. I don't know if it's relevant for Go, but you might want to see how the coverage looks like for branch-based analysis (if Go has software for that).

Otherwise, nice to see someone take quality serious. :)

The coverage is based on the built in go tooling, which supports line or function based analysis. In addition it can start a webserver where you can browse coverage by file with color output.

    # Generate coverage data
    go test -coverprofile=coverage.out
    
    # View coverage by function
    go tool cover -func="coverage.out"
    
    # View coverage line by line
    go tool cover -html="coverage.out"

This seems like a really cool project to hack on. I noticed you have no issues on the github repo, but where do you want to go with it next? Or what would you like more eyes on?

I mentioned elsewhere in the thread, but if you're interested in help buliding statistical tools for go, Gonum is always looking for more hands. Look at what we have in github.com/gonum, and/or come introduce yourself at gonum-dev

Thanks for your interest!

I think the biggest thing to do is finalize the public API and release v1.0.0. I started with only functions but have since added types, so I'd like to figure out if I should support both or stick to one or the other. I have a feeling I could use an Interface to make stats work for both []float64 and []int but I'm not sure about that.

Another thing I'd like to do is add more test suites, I know they are out there for more mature statistics packages in other languages that could be ported to Go.

Speaking of mature packages, I think the Gnu GSL Statistics[1] could be a good roadmap for future functionality and API design decisions.

1. http://www.gnu.org/software/gsl/manual/html_node/Statistics....

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