UpSetR
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
Science Score: 54.0%
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✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: nature.com -
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2 of 16 committers (12.5%) from academic institutions -
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Organization hms-dbmi has institutional domain (dbmi.hms.harvard.edu) -
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Low similarity (11.8%) to scientific vocabulary
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Repository
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
Basic Info
- Host: GitHub
- Owner: hms-dbmi
- License: other
- Language: R
- Default Branch: master
- Homepage: https://cran.rstudio.com/web/packages/UpSetR
- Size: 30 MB
Statistics
- Stars: 802
- Watchers: 37
- Forks: 161
- Open Issues: 145
- Releases: 21
Topics
Metadata Files
README.md
UpSetR 
Technique
UpSetR generates static UpSet plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such as the number of elements in the aggregates and intersections, as well as additional summary statistics derived from subset or element attributes.
For further details about the original technique see the UpSet website. You can also check out the UpSetR shiny app. Here is the source code for the shiny wrapper.
A Python package called py-upset to create UpSet plots has been created by GitHub user ImSoErgodic.
Citation
If you use UpSetR in a paper, please cite:
Jake R Conway, Alexander Lex, Nils Gehlenborg UpSetR: An R Package for the Visualization of Intersecting Sets and their Properties doi: https://doi.org/10.1093/bioinformatics/btx364
The original technique and the interactive visualization tool implementing the approach are described here:
Alexander Lex, Nils Gehlenborg, Hendrik Strobelt, Romain Vuillemot, Hanspeter Pfister,
UpSet: Visualization of Intersecting Sets,
IEEE Transactions on Visualization and Computer Graphics (InfoVis '14), vol. 20, no. 12, pp. 1983–1992, 2014.
doi: https://doi.org/10.1109/TVCG.2014.2346248
Sample Data
Sample data sets for UpSetR are included in the package and can be loaded like this:
R
movies <- read.csv( system.file("extdata", "movies.csv", package = "UpSetR"), header=T, sep=";" )
mutations <- read.csv( system.file("extdata", "mutations.csv", package = "UpSetR"), header=T, sep = ",")
The movie data set created by the GroupLens Lab and curated by Bilal Alsallakh and the mutations data set was originally created by the TCGA Consortium and represents mutations for the 100 most mutated genes in a glioblastoma multiforme cohort.
Examples
In addition to the examples shown here, we have included a range of UpSetR plots in the paper about the R package, which can be found in a separate GitHub repository.
Vignettes
There are currently four vignettes that explain how to use the features included in the UpSetR package: * Basic Usage * Queries * Attribute Plots * Set Metadata
Demo
A view of the UpSet plot with additional plots based on elements in the intersections.
R
upset(movies,attribute.plots=list(gridrows=60,plots=list(list(plot=scatter_plot, x="ReleaseDate", y="AvgRating"),
list(plot=scatter_plot, x="ReleaseDate", y="Watches"),list(plot=scatter_plot, x="Watches", y="AvgRating"),
list(plot=histogram, x="ReleaseDate")), ncols = 2))
A view of UpSetR mimicking the plot published by Lex & Gehlenborg
http://www.nature.com/nmeth/journal/v11/n8/abs/nmeth.3033.html
R
upset(mutations, sets = c("PTEN", "TP53", "EGFR", "PIK3R1", "RB1"), sets.bar.color = "#56B4E9",
order.by = "freq", empty.intersections = "on")
An example using two set queries (war movies and noir movies) along with attribute plots comparing the average rating (top) and average rating vs the number of times the movies have been watched (bottom).
R
upset(movies, attribute.plots=list(gridrows = 100, ncols = 1,
plots = list(list(plot=histogram, x="AvgRating",queries=T),
list(plot = scatter_plot, y = "AvgRating", x = "Watches", queries = T))),
sets = c("Action", "Adventure", "Children", "War", "Noir"),
queries = list(list(query = intersects, params = list("War"), active = T),
list(query = intersects, params = list("Noir"))))
Download
Install the latest released version from CRAN
R
install.packages("UpSetR")
Download the latest development code of UpSetR from GitHub using devtools with
R
devtools::install_github("hms-dbmi/UpSetR")
Owner
- Name: Harvard Medical School - Department of Biomedical Informatics
- Login: hms-dbmi
- Kind: organization
- Location: Boston
- Website: http://dbmi.hms.harvard.edu/
- Repositories: 354
- Profile: https://github.com/hms-dbmi
GitHub Events
Total
- Issues event: 1
- Watch event: 44
- Issue comment event: 3
- Pull request event: 1
- Fork event: 10
Last Year
- Issues event: 1
- Watch event: 44
- Issue comment event: 3
- Pull request event: 1
- Fork event: 10
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| JakeConway | j****5@g****m | 283 |
| Nils Gehlenborg | n****s@g****m | 25 |
| Nils Gehlenborg | n****s@h****u | 7 |
| Alexander Lex | a****x@s****u | 5 |
| Nils Gehlenborg | n****s@o****l | 5 |
| RichardJActon | r****n@g****m | 4 |
| Alan O'Callaghan | a****n@f****m | 3 |
| Richard JActon | r****f@g****m | 3 |
| mworkentine | m****e@g****m | 3 |
| Jake Conway | j****y@J****l | 2 |
| Alan O'Callaghan | a****n@o****m | 1 |
| David Bernick | d****k@g****m | 1 |
| JakeConway | J****5@g****m | 1 |
| Jonathan Carroll | j****o@j****u | 1 |
| colinandrus | a****n@g****m | 1 |
| timelyportfolio | k****l@t****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 106
- Total pull requests: 19
- Average time to close issues: 11 months
- Average time to close pull requests: about 1 year
- Total issue authors: 98
- Total pull request authors: 18
- Average comments per issue: 2.65
- Average comments per pull request: 0.53
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 4
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 3
- Pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- CPerscheid (2)
- DrZhaoJie (2)
- marwa38 (2)
- ngehlenborg (2)
- ghost (2)
- AritriSanyal (2)
- skarunan (2)
- aryehjc (1)
- robertamig (1)
- sfd99 (1)
- domenico-simone (1)
- jbp7 (1)
- shaman-narayanasamy (1)
- makis23 (1)
- bowenli37 (1)
Pull Request Authors
- TTTPOB (4)
- Mahammad-123 (2)
- MichaelChirico (2)
- eeenilsson (1)
- olivroy (1)
- jdblischak (1)
- jonocarroll (1)
- g1o (1)
- alexhbnr (1)
- AlexisDerumigny (1)
- GuangchuangYu (1)
- drag05 (1)
- YY-SONG0718 (1)
- bioShaun (1)
- danalvarez (1)
Top Labels
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Packages
- Total packages: 4
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Total downloads:
- cran 19,707 last-month
- Total docker downloads: 252,659
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Total dependent packages: 20
(may contain duplicates) -
Total dependent repositories: 92
(may contain duplicates) - Total versions: 62
- Total maintainers: 1
cran.r-project.org: UpSetR
A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
- Homepage: http://github.com/hms-dbmi/UpSetR
- Documentation: http://cran.r-project.org/web/packages/UpSetR/UpSetR.pdf
- License: MIT + file LICENSE
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Latest release: 1.4.0
published almost 7 years ago
Rankings
Maintainers (1)
proxy.golang.org: github.com/hms-dbmi/UpSetR
- Documentation: https://pkg.go.dev/github.com/hms-dbmi/UpSetR#section-documentation
- License: other
-
Latest release: v1.4.0
published over 7 years ago
Rankings
proxy.golang.org: github.com/hms-dbmi/upsetr
- Documentation: https://pkg.go.dev/github.com/hms-dbmi/upsetr#section-documentation
- License: other
-
Latest release: v1.4.0
published over 7 years ago
Rankings
conda-forge.org: r-upsetr
- Homepage: http://github.com/hms-dbmi/UpSetR
- License: MIT
-
Latest release: 1.4.0
published over 6 years ago
Rankings
Dependencies
- R >= 3.0 depends
- ggplot2 * imports
- grDevices * imports
- gridExtra * imports
- methods * imports
- plyr * imports
- scales * imports
- stats * imports
- utils * imports
- knitr * suggests