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Top 23 R Rstat Projects
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First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
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Project mention: What is your favorite piece if Technogy or R package which you wish you would have discovered earlier ? | reddit.com/r/rstats | 2022-10-21
patchwork and ggrepel
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drake
An R-focused pipeline toolkit for reproducibility and high-performance computing (by ropensci)
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Project mention: My recommended R packages / functions for behavioral researchers who deal with 2X2 experiments | reddit.com/r/rstats | 2022-05-03
I'd also recommend the whole easystats suite of packages. They make model post-processing much easier. It includes a more intuitive (but more limited, imo) replacement for emmeans: modelbased.
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I would start by saying "bioinformatics world" is a very broad term. Most of it does not involve managing multiple models, which is what MLflow seems to be for. Most work is cleaning the data and interpreting the results, which is highly project-specific. Something like workflowr is generally more appropriate, but even that is an overkill for most people.
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The Bioconductor package enrichplot has some nice functions for visualizing the results of clusterProfiler. See: https://yulab-smu.top/biomedical-knowledge-mining-book/
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"The forecasts are based on a substantially revised version of ESPN’s Soccer Power Index (SPI), a rating system originally devised by FiveThirtyEight editor-in-chief Nate Silver in 2009 for rating international soccer teams. We have updated and adapted SPI to incorporate club soccer data going back to 1888 (from more than 550,000 matches in all) that we’ve collected from ESPN’s database and the Engsoccerdata GitHub repository, as well as from play-by-play data produced by Opta that has been available since 2010."
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Is this it https://github.com/ropensci/targets?
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UpSetR
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
Want this type of plot: https://github.com/hms-dbmi/UpSetR
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TidyTuesday
My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2. (by Z3tt)
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Project mention: Finding a package that writes out interpretive text | reddit.com/r/rstats | 2023-03-08
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Project mention: In your opinion, which is the best package for creating Gantt charts? And why? (the beauty of the result, easy to use...) | reddit.com/r/RStudio | 2022-10-19
I liked using just ggplot and writing the timelines in JSON. It made sense to me as far as a structure goes. Parts of a project might have multiple start and end dates as well as important keyframes. There is also ganttrify.
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The software package (https://github.com/ropensci/tabulizer) was used, which is implemented in the programming language R.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-03-21.
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A note from our sponsor - InfluxDB
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Index
What are some of the best open-source Rstat projects in R? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | awesome-R | 5,413 |
| 2 | patchwork | 2,193 |
| 3 | gganimate | 1,853 |
| 4 | drake | 1,321 |
| 5 | sf | 1,119 |
| 6 | easystats | 882 |
| 7 | ggthemr | 833 |
| 8 | workflowr | 763 |
| 9 | clusterProfiler | 755 |
| 10 | waffle | 728 |
| 11 | engsoccerdata | 718 |
| 12 | targets | 708 |
| 13 | tidyexplain | 672 |
| 14 | shinyjs | 667 |
| 15 | UpSetR | 656 |
| 16 | TidyTuesday | 653 |
| 17 | hexSticker | 641 |
| 18 | report | 598 |
| 19 | timevis | 598 |
| 20 | ggsignif | 502 |
| 21 | ganttrify | 496 |
| 22 | tabulizer | 490 |
| 23 | regexplain | 475 |
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