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ENH: make group-column optional in pairwise-distances #114

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nbokulich opened this issue Aug 13, 2018 · 1 comment
Open

ENH: make group-column optional in pairwise-distances #114

nbokulich opened this issue Aug 13, 2018 · 1 comment
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diff:1|beginner Only limited knowledge of the languages and platform is required. good first issue Good for newcomers Hacktoberfest Good fit for the Hacktoberfest challenge help wanted Extra attention is needed lang:python Python 3 low-priority scope:0|this-project No other repositories are impacted. src:forum From the QIIME 2 Forum. time:1|short Should not take very much time to complete (assuming familiarity). type:improvement Making something better. weight:0|someday It's a good idea, but no schedule on delivery.

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@nbokulich
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Improvement Description
Make group-column optional. Then paired distances would be plotted for all samples. No stats would be calculated.

Current Behavior
group-column is required, so some comparison must be made. See example viz

Proposed Behavior
Make group-column optional, so that paired distances for all samples can be plotted together.

References
forum x-ref

@nbokulich nbokulich added help wanted Extra attention is needed low-priority diff:1|beginner Only limited knowledge of the languages and platform is required. good first issue Good for newcomers lang:python Python 3 scope:0|this-project No other repositories are impacted. src:forum From the QIIME 2 Forum. time:1|short Should not take very much time to complete (assuming familiarity). type:improvement Making something better. weight:0|someday It's a good idea, but no schedule on delivery. labels Aug 13, 2018
@ebolyen ebolyen added the Hacktoberfest Good fit for the Hacktoberfest challenge label Oct 10, 2018
@gregcaporaso
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I just ran into a need for this, so I'll take a crack at a fix.

I feel like there is probably a way to do the stats too, even if there is only one group - e.g., by shuffling the pre-post pairings 1000 times and comparing the median of the actual pre-post data to the distributions of the medians of the 1000 shuffled pairings, but I have to think about that a bit. Anyone have ideas there?

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Labels
diff:1|beginner Only limited knowledge of the languages and platform is required. good first issue Good for newcomers Hacktoberfest Good fit for the Hacktoberfest challenge help wanted Extra attention is needed lang:python Python 3 low-priority scope:0|this-project No other repositories are impacted. src:forum From the QIIME 2 Forum. time:1|short Should not take very much time to complete (assuming familiarity). type:improvement Making something better. weight:0|someday It's a good idea, but no schedule on delivery.
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