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Comment by howeman | Hacker News Reader

Gonum has many of these capabilities, but with a slightly different mentality (gonum has weights and sticks to pure []float64 while this defines types and methods, i.e. Coordinate, Float64Data)

gonum/floats for max, min, round, sum, etc.

gonum/stat for mean, std, variance, etc.

gonum/stat/sample for sampling without replacement

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Stats also works fine with pure []float64 data. The types allow for a very clean API for working with data and statistics. You can compare using functions[1] or methods[2] in /examples.

I started with only []float64 but wanted to allow stuff like this:

    func getData() []float64 {
    	// Do stuff to get the data and 
    	// store it in var data []float64
    	return data
    }

    var d Float64Data = getData()
    fmt.Println(d.Max())

1. https://github.com/montanaflynn/stats/blob/master/examples/m...

2. https://github.com/montanaflynn/stats/blob/master/examples/m...

If you're interested in developing more stats stuff, we'd love to have you as part of the effort. gonum/stat/dist in particular needs a lot more functionality.

Why are these all separate repos? And is there any centralized documentation? Can't find any.

They are separate repos because they have different mentalities. Stat is basic statistics for a (weighted) set of values. Floats is closer to dealing with properties of a vector (norm, distance, etc.). Sample has sophisticated sampling from distributions (metropolis hastings, etc.). gonum/stat/dist has sampling distributions themselves.

Documentation can be found in godoc, i.e. godoc.org/github.com/gonum/stat, godoc.org/github.com/gonum/matrix/mat64, etc.

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