Implement a network-appropriate plot() method for mixingmatrix.
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- r
- Domain
- data-visualization
Research direction
Start by reading the existing plot() behavior for table objects and the mixingmatrix representation referenced in the issue. Define which network composition measure should control cell dimensions and which edge statistic should control colour before implementation. Done requires an agreed network-appropriate heat-map design and corresponding plot behavior.
Written by the indexing model from the issue text.
Description
Heat maps are often used to visualise mixing matrices, but the default method for table objects uses mosaic plots. For networks, it's also meaningful to adjust the counts for network composition. For example, number of nodes with a particular attribute value could be mapped to the height or the width of the corresponding cells on the heat map, and the edge count and/or density and/or residual relative to independence can be mapped to the cell's colour.
- Dominant language
- R
- Stars
- 20
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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