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Items tagged with: rstats
Are you interested in learning how to extract tables from PDFs using simple and effective R tools?
I’ll give a workshop next week as part of the Workshops for Ukraine initiative.
More details and registration here:
sites.google.com/view/dariia-m…
Dariia Mykhailyshyna - Workshops for Ukraine
Feedback on the past workshops (if you want to learn how to make wordclouds, check out Text Data Analysis workshop below)sites.google.com
Excited to announce our article, "EvoWeaver: large-scale prediction of gene functional associations from coevolutionary signals" was just published in Nature Communications!
We demonstrate that it's possible to infer how genes work together using only sequencing data by leveraging correlated signals of evolution. Check it out at the link below!
#genomics #bioinformatics #rstats #genetics #evolution #biology
nature.com/articles/s41467-025…
EvoWeaver: large-scale prediction of gene functional associations from coevolutionary signals - Nature Communications
Despite having structures for most proteins, we still do not know their function. Here, authors introduce EvoWeaver, a de novo method to identify genes working together using evolutionary information.Nature
Overview | Building Web Apps with R Shiny
This class will teach you the basics of Shiny app programming, giving you skills that will form the basis of almost any app you want to build.debruine.github.io
Don’t want your matrix becoming a lonely vector if you index a single column? There is a simple solution 👇
Discovered this gem ages ago – couldn't believe I didn't know about it sooner though.
Hope this ripper helps someone else.
Hey, #rstats champions! Sometimes you might want to consider reordering 🔀 your boxplot groups to more clearly illustrate the differences between them. You can easily achieve this with the `reorder` function within your aesthetic mappings. Check out my blog for a full working example and code.
earthdatalogin by Carl Boettiger streamlines the process of accessing NASA data from the Earth Data cloud program.
It also has a few vignettes explaining "Data Cubes with STAC", "Cloud-Native Access", and even shows how to read some data from a 31 Terrabyte Zarr.
boettiger-lab.github.io/earthd…
NASA EarthData Login Utilities
Providing easy, portable access to NASA EarthData products through the use of bearer tokens. Much of NASAs public data catalogs hosted and maintained by its 12 Distributed Active Archive Centers (DAACs) are now made available on the Amazon Web …boettiger-lab.github.io
At my workplace, we're looking into how we can support the processing of very large datasets in R. It would be wonderful if some bioinformaticians could answer a couple of questions to direct us to the problem points.
We're hoping that we can publish something out of this that will be helpful to everyone in the field: forms.office.com/r/jNd2cbEZkh
#RStats #ggdist
github.com/mjskay/ggdist
GitHub - mjskay/ggdist: Visualizations of distributions and uncertainty
Visualizations of distributions and uncertainty. Contribute to mjskay/ggdist development by creating an account on GitHub.GitHub
Have an API you want to wrap into an #RStats 📦? I can help you with that!
Note: things are still in flux, so don't use this for anything critical yet. I think I'm gonna break some things apart in the generated functions in the next refactor. But it WORKS! See these repos generated using it:
🐝 jonthegeek.github.io/apisguru
🗳️ jonthegeek.github.io/fecapi
📥 jonthegeek.github.io/trellor
Rapidly Scaffold API Client Packages
Automatically generate R package skeletons from application programming interfaces (APIs) that follow the OpenAPI Specification (OAS). The skeletons implement best practices to streamline package development.beekeeper.api2r.org
For example, Simpson's Paradox and the importance of considering important subpopulations - is brilliantly displayed in the Palmer Penguins dataset.
(1/2) Timetk for Python 🚀🚀🚀
The timetk, one of the main R packages for time series analysis and forecasting ❤️, by Matt Dancho, is now available in Python 🐍. The package provides a variety of tools for working with time series data and analyzing it. The Python version leverages pandas for processing time series data and plotly for visualization.
Cool #RStats prokect alert!
GitHub - r-wasm/webr: The statistical language R compiled to WebAssembly via Emscripten, for use in web browsers and Node.
The statistical language R compiled to WebAssembly via Emscripten, for use in web browsers and Node. - GitHub - r-wasm/webr: The statistical language R compiled to WebAssembly via Emscripten, for u...GitHub
I'm wanting to incorporate some #Rstats in my university #Evolution class so that students learn/reinforce some R skills while increasing their understanding of evolution. I did an internet search and found next to nothing:
Too advanced:
mimuw.edu.pl/~lukaskoz/teachin…
Interesting, but pretty limited in what it does:
onlinelibrary.wiley.com/doi/10…
Any recommendations?
Last Wednesday I ran @joelnitta's excellent "Introduction to Targets" workshop and taught around 15 people how to write workflows in R. I also tested out some bonus content about running targets on Slurm/HPC which I hope to get included in the workshop eventually.
All the feedback was positive, so I recommend giving it a shot if you're interested in teaching Targets at your organization!
github.com/carpentries-incubat…
GitHub - carpentries-incubator/targets-workshop: Pre-alpha {targets} workshop
Pre-alpha {targets} workshop. Contribute to carpentries-incubator/targets-workshop development by creating an account on GitHub.GitHub
New resource: a set of miscellaneous general-purpose R functions. I created most of these functions for my own personal use over the past 13 years, but I have also shared them informally with many students, friends, and colleagues. I have decided to publish them for anyone else who may be interested. They address a variety of tasks that sometimes come up in psychological data analysis.
saraemilyburke.com/stats/miscf…
Sara Emily Burke | Miscellaneous R Functions
Miscellaneous R functions for data processing, analysis, and plottingsaraemilyburke.com
New release of `plot2` coming in hot. As a reminder, the plot2 📦 provides a lightweight extension of the base #rstats plotting system. Automatically handles grouping and legends, etc. This version also adds support for pointrange and ribbon plots.
Make those base plots look good with minimal effort: github.com/grantmcdermott/plot…
GitHub - grantmcdermott/plot2: Lightweight extension of base R's plot function
Lightweight extension of base R's plot function. Contribute to grantmcdermott/plot2 development by creating an account on GitHub.GitHub
R for Data Science, 2nd edition - Tidyverse
The second edition of R for Data Science is out, and it's a major reworking of the first edition.www.tidyverse.org
New version of the rotl #rstats package. This package allows you to retrieve phylogenetic trees from the Open Tree of Life API.
The only change is that the function to match taxonomic names returns the taxon with the highest score if there are multiple matches. The score represents the distance to the match (a perfect match has a score of 1.0)
* Repo: github.com/ropensci/rotl
* CRAN: cran.r-project.org/package=rot…
GitHub - ropensci/rotl: Interface to Open Tree of Life API
Interface to Open Tree of Life API. Contribute to ropensci/rotl development by creating an account on GitHub.GitHub
Get ready to unleash the power of GAMs and take your data analysis skills to the next level🚀
🔗physalia-courses.org/courses-w…
Don't miss out!
#GAMs #Rstats #DataAnalysis
Generalised Additive Models in R; a data-driven approach to estimating regression models
20-24 November 2023 To foster international participation, this course will be held onlinephysalia-courses
user?A cursory introduction to {extendr} for making rust based
packages!Make super fast R packages using Rust ⚡️
#rstats #rustlang
youtube.com/watch?v=tRm-Qq2_Ap…
R and Rust - getting started with extendr
Write R packages using Rust. Rust is fast, type safe, and memory efficient. The rextendr R package and extendr rust crate lets you interact with R objects an...YouTube
The best practice for microbiome analysis using R
Abstract. With the gradual maturity of sequencing technology, many microbiome studies have published, driving the emergence and advance of related analysis toolWen, Tao (Oxford University Press)
This week in #TidyTuesday we look at the Portal Project.
Thanks to: @ethanwhite for the data.
The project: portal.weecology.org / @weecology
Code: github.com/mvbloois/tidytuesda…
GitHub - mvbloois/tidytuesday: Repository for my Tidytuesday data visualizations.
Repository for my Tidytuesday data visualizations. - GitHub - mvbloois/tidytuesday: Repository for my Tidytuesday data visualizations.GitHub
The EIAapi R package is now on CRAN 🚀
The EIA API is one of my favorite resources for real-life time series data examples ❤️. I packaged a couple of datasets (USgas and USgrid packages), and it is going to be the main resource for my upcoming book on time series analysis and forecasting. The package provides a function to seamlessly query data from the EIA API v2 in a tidy format.
Source code: github.com/RamiKrispin/EIAapi
Documentation: ramikrispin.github.io/EIAapi/
#rstats #timeseries #forecasting #data
GitHub - RamiKrispin/EIAapi: Supporting tools for the Applied Time Series Analysis and Forecasting book
Supporting tools for the Applied Time Series Analysis and Forecasting book - GitHub - RamiKrispin/EIAapi: Supporting tools for the Applied Time Series Analysis and Forecasting bookGitHub
"After a whole year of development, our in-depth R programming course 📊 is now LIVE: more than 9 hours of video lessons and hundreds of coding challenges are waiting for you for free on YouTube 📢
Many thanks to the World Health Organization & University of Geneva for making this open course possible!" - GRAPH Network (Global Research and Analyses for Public Health) LinkedIn post
youtube.com/playlist?list=PLkk…
Three-in-one compilation of R Basics and Beyond (R Foundations, Data Untangled, and Data on Display)
This course is for anyone interested in learning R for data analysis. Over 9 hours of instruction, you will: • Learn to import, clean, transform, and summari...YouTube
I've been playing around with using #WebR and #Quarto for client-side interactive lesson material and it's amazing! All the R code (including #TidyVerse 📦) is running in the user's browser, so no server setup, resources, or security to worry about.
Demo Website: interactive-lessons.weecology.…
GitHub: github.com/ethanwhite/datacarp…
Huge thanks to @hrbrmstr for sharing all of this awesomeness this week(end). Checkout his new blog post on this: rud.is/b/2023/03/12/almost-bar…
GitHub - ethanwhite/datacarp-interactive
Contribute to ethanwhite/datacarp-interactive development by creating an account on GitHub.GitHub
I'm super-duper excited by webR! Running #rstats directly in the browser without needing to install it is a dream come true for teaching and onboarding. I wished I had the time to add it to this trimester's introductory programming class.
tidyverse.org/blog/2023/03/web…
webR 0.1.0 has been released - Tidyverse
webR 0.1.0 has been released! Using the magic of WebAssembly, webR allows you to run R code directly within a web browser.www.tidyverse.org
Introducing Tidier.jl for #JuliaLang:
A 100% Julia implementation of the #rstats {tidyverse}. Powered by the DataFrames.jl package and Julia’s meta-programming capabilities.
Still a work in progress.
Tidier.jl currently supports many of the core tidyverse functions. Because the package implements a non-standard domain-specific language (i.e., tidyverse) within Julia, it requires macros instead of plain functions, which is why all of the functions start with a "@".
GitHub - kdpsingh/Tidier.jl: 100% Julia implementation of the R tidyverse mini-language
100% Julia implementation of the R tidyverse mini-language - GitHub - kdpsingh/Tidier.jl: 100% Julia implementation of the R tidyverse mini-languageGitHub
This thread explains the {quartodon} R 📦 (see quartodon.opens.science).
The #rstats quartodon 📦 allows you to post a Mastodon thread from a plain text file (e.g., a blog post from a Quarto, {blogdown}, or {distill} website, another Quarto or R Markdown file, or just a plain text file).
This effectively allows you to post blog posts to Mastodon in a thread of toots 📑➡️🪄➡️🐘🐘🐘
🧵1/10
Extract and Post Mastodon Threads From Text Files
To compose Mastodon posts, a plain text file can be used. Given the functionality offered by packages such as quarto, blogdown, and distill, it makes sense to compose toot threads as blog posts.quartodon.opens.science
seekingalpha.com/news/3923597-…
Palantir, Posit join hands for RStudio integration
Palantir Technologies (PLTR) and Posit enter a new technology partnership to integrate wide range of individuals, teams, and enterprises to leverage RStudio Pro on Palantir FoundryMeghavi Singh (Seeking Alpha)
Hello there! 🧬 Biochemist and 🖥️ R programmer from #Spain speaking. I like reading sci-fi & fantasy and watching TV shows. Feminisms and #WomenInSTEM. Hope to meet like-minded people and see many cat's pics 
#Introduction #rstats #scifi #chemistry #biochemistry #molecularbiology