I found your Chi-Square test and am trying to use it. It appears to work with one array but not with two. My steps are below:
This works: ChisqTest([1,2,3,4]) This doesn't: ChisqTest([1,2,3,4],[1,2,2,4]) It errors with the following: LoadError: MethodError: `ChisqTest` has no method matching ChisqTest(::Array{Int64,1}, ::Array{Int64,1}) Closest candidates are: ChisqTest{T<:Integer}(::AbstractArray{T<:Integer,1}, ::AbstractArray{T<:Integer,1}, !Matched::Tuple{UnitRange{T<:Integer},UnitRange{T<:Integer}}) ChisqTest{T<:Integer}(::AbstractArray{T<:Integer,1}, ::AbstractArray{T<:Integer,1}, !Matched::T<:Integer) ChisqTest{T<:Integer,U<:AbstractFloat}(::AbstractArray{T<:Integer,1}, !Matched::Array{U<:AbstractFloat,1}) ... while loading In[118], in expression starting on line 1 I have checked the arrays to make sure they're AbstractArrays and the result is true. Any advice would be helpful, I might just be implementing wrong. On Friday, March 6, 2015 at 7:58:20 AM UTC-6, Benjamin Deonovic wrote: > > My pull has been merged: https://github.com/JuliaStats/HypothesisTests.jl > > On Thursday, March 5, 2015 at 8:32:32 AM UTC-6, Benjamin Deonovic wrote: >> >> I implemented the chisquare test in julia. I made a pull request in the >> HypothesisTests package. It hasn't been pulled yet, but probably will be >> soon. >> >> On Sunday, February 8, 2015 at 5:32:48 PM UTC-6, Arin Basu wrote: >>> >>> Hi All, >>> >>> Please pardon my ignorance, but how does one do chisquare test in Julia. >>> Something like, >>> >>> ``` >>> >>> chisq.test(x, y = NULL, correct = TRUE, >>> p = rep(1/length(x), length(x)), rescale.p = FALSE, >>> simulate.p.value = FALSE, B = 2000) >>> >>> ``` >>> >>> in R >>> >>> >>> I could not find anything in the documentation. I must not have searched >>> enough, what can it be? >>> >>> >>> Best, >>> >>> Arin >>> >>>