Allow computing the correlation matrix from the covariance matrix only#75
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ASaragga wants to merge 1 commit intoJuliaStats:masterfrom
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Allow computing the correlation matrix from the covariance matrix only#75ASaragga wants to merge 1 commit intoJuliaStats:masterfrom ASaragga:master
ASaragga wants to merge 1 commit intoJuliaStats:masterfrom
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…y (StatsBase.jl #652)
Codecov Report
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## master #75 +/- ##
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Coverage 0.00% 0.00%
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Files 1 1
Lines 387 455 +68
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- Misses 387 455 +68
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Member
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Thanks. Can you add a test? Otherwise the function might break at any time without anybody noticing. |
Author
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Certainly. Already tried the obvious
@test cov2cor(cov1) ≈ cor1
@test cov2cor(cov2) ≈ cor2
but it throws an error...
… On 19 Feb 2021, at 09:01, Milan Bouchet-Valat ***@***.***> wrote:
Thanks. Can you add a test? Otherwise the function might break at any time without anybody noticing.
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Member
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What kind of error? |
Author
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The cov2cor test errors because it is not considering the method cov2cor!(::Array{Float64,2}) that was added to Statistics.jl. Sorry about this.
The error is
cov2cor: Error During Test at /home/runner/work/StatsBase.jl/StatsBase.jl/test/cov.jl:127
143
<https://github.com/JuliaStats/StatsBase.jl/pull/662/checks?check_run_id=1942164575#step:6:143> Test threw exception
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<https://github.com/JuliaStats/StatsBase.jl/pull/662/checks?check_run_id=1942164575#step:6:144> Expression: cov2cor(cov1) ≈ cor1
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<https://github.com/JuliaStats/StatsBase.jl/pull/662/checks?check_run_id=1942164575#step:6:145> MethodError: no method matching cov2cor!(::Array{Float64,2})
… On 19 Feb 2021, at 14:46, Milan Bouchet-Valat ***@***.***> wrote:
What kind of error?
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Member
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Well we're in Statistics.jl here, not in StatsBase. :-/ |
Author
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Indeed! Tests for the family of cov2cor methods in Statistics.jl appear to be missing?! Tried to follow some examples to keep the same style of tests.
Sorry it is taking so long...
… On 20 Feb 2021, at 14:47, Milan Bouchet-Valat ***@***.***> wrote:
Well we're in Statistics.jl here, not in StatsBase. :-/
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Member
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These are only internal functions in Statistics, so they are only tested indirectly via |
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Following discussions concerning issue JuliaStats/StatsBase.jl#652.