grunwaldlab / grunwaldlab/metacoder
Make standard stacked barcharts
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- Dominant language
- R
- Stars
- 148
- Forks
- 30
- PR merge metrics
- No merged PRs in 30d
Description
This would take a taxmap as input and return a ggplot2 graph. The dataset would typically be the result of soemthing like calc_taxon_abund
stacked_barchart(obj, dataset, cols = NULL, groups = NULL, ranks = NULL)
dataset, cols and groups would work like those options in functions like calc_taxon_abund. The same parsers for those options should be reused.
ranks would take two types of input:
- character: The names of ranks (e.g. ranks = "genus")
- numeric: The "depth" of the rank from the root (e.g. rank = 4)
If multiple values for ranks is given, then one stacked barchart for each rank will be produced and combined into the same graph using ggplot2 facets or cowplot. If ranks is NULL, then the finest rank should be picked such that >90% of the bar is split into fewer than 10 colors with an "other" group (grey) added for the extra 10%. If the taxmap has rank info (e.g. taxon_ranks(obj)) then a named rank will be picked. Otherwise, a "depth" of the rank from the root will be picked. This function should not be allowed to print more than 10 colorsl.
phyloseq already has a barchart function:
https://joey711.github.io/phyloseq/plot_bar-examples.html
So this would mainly be a convenience for using taxmap objects instead of phyloseq objects.
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.
Research direction
No implementation files or tests are named. Start by tracing the option parsers used by calc_taxon_abund and the rank information exposed by taxon_ranks, then compare phyloseq's plot_bar examples. Done means a taxmap-based stacked bar-chart function supports the specified dataset, grouping, column, and rank inputs while limiting displayed colors as described.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100