For the ANOVA, I usually just call from Go into R for such things -- at 
least until I 
can validate if its the right thing to do/ meets the sensitivity/power 
needs of the analysis.

https://statsandr.com/blog/anova-in-r/

https://github.com/glycerine/rmq#and-the-reverse-embedding-r-inside-your-golang-program


On Wednesday, October 25, 2023 at 6:48:56 AM UTC+1 Jan wrote:

> So cool!
> On Monday, October 23, 2023 at 5:44:29 PM UTC+2 Martin Schnabel wrote:
>
>> Hi, 
>>
>> I attempted to translate the linked JS implementation for fun. Maybe 
>> someone can use it as a starting point and correct or verify its 
>> correctness. 
>>
>> https://go.dev/play/p/Wrw2yDRof0z 
>>
>> Have fun! 
>>
>> On 10/23/23 07:38, Jan wrote: 
>> > hi, I did a quick search and I didn't find anything in Go. But looking 
>> > at the definition and at one implementation in JS 
>> > <
>> https://github.com/lukem512/brown-forsythe-test/blob/master/src/brown-forsythe.js>,
>>  
>> it sounds something relatively easy to write and share :)  You can use the 
>> R implementation to create some test datasets. Maybe gonum/stat <
>> https://godocs.io/gonum.org/v1/gonum/stat> would be a potential home for 
>> such a function ? What do you think ? 
>> > 
>> > cheers 
>> > On Friday, October 20, 2023 at 10:54:55 AM UTC+2 王富民awaw wrote: 
>> > 
>> > Hi follow Gophers 
>> > 
>> > I wonder is there a canonical, verifiably correct Go package for 
>> > statistics? 
>> > In particular, Go code that does the Brown-Forsythe test of equal 
>> > variance. 
>> > Ideally in pure Go, but linking with CGo is OK. 
>> > 
>> > A search on Google and pkg.go.dev <http://pkg.go.dev> does not 
>> > return helpful results. 
>> > I wonder is there anything that the community could share? 
>> > 
>> > -- 
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>>  
>> <
>> https://groups.google.com/d/msgid/golang-nuts/7ee10c0f-8af6-4b31-baaf-ce2ccb9c0211n%40googlegroups.com?utm_medium=email&utm_source=footer>.
>>  
>>
>>
>

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