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title: R Weekly 2024-W40 Data Career Insights, In-Place Modifications, rix | ||
description: Weekly News in the R Community | ||
image: https://rweekly.org/public/facebook.png | ||
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+ [How to have (my) content shared by R Weekly?](https://github.com/rweekly/rweekly.org#how-to-have-my-content-shared-by-r-weekly) | ||
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This week’s release was curated by [Tony ElHabr](https://tonyelhabr.rbind.io/), with help from the R Weekly team members and contributors. | ||
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### Highlight | ||
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+ [Data Career Insights: Lessons from four senior leaders in the data space](https://posit.co/blog/lessons-from-four-senior-leaders-in-the-data-space/) | ||
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+ [In-Place Modifications](https://jcarroll.com.au/2024/09/25/in-place-modifications/) | ||
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+ [Reproducible data science with Nix, part 13 -- {rix} is on CRAN!](https://www.brodrigues.co/blog/2024-09-27-nix_part_13/) | ||
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### Insights | ||
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+ [Cover and modify, some tips for R package development](https://masalmon.eu/2024/09/24/cover-modify-r-packages/) | ||
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+ [Data Career Insights: Lessons from four senior leaders in the data space](https://posit.co/blog/lessons-from-four-senior-leaders-in-the-data-space/) | ||
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+ [RStudio IDE and Posit Workbench 2024.09.0: What’s New](https://posit.co/blog/rstudio-2024-09-0-whats-new/) | ||
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+ [Reproducible data science with Nix, part 13 -- {rix} is on CRAN!](https://www.brodrigues.co/blog/2024-09-27-nix_part_13/) | ||
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+ [Some Options for Fast Matrix Decompositions in R](https://www.practicalsignificance.com/posts/some-fast-spectral-decompositions-in-r/) | ||
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![](https://raw.githubusercontent.com/rweekly/image/master/2024/W40/spectral-decompositions.png) | ||
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+ [{surveydown 0.3.0}](https://surveydown.org/blog/2024-09-18-new-app-design/) | ||
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+ [Seal of Approval: collapse](https://rdatatable-community.github.io/The-Raft/posts/2024-09-21-seal_of_approval-collapse/) | ||
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### R in the Real World | ||
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+ [A Bayesian Plackett-Luce model in Stan applied to pinball championship data](https://sumsar.net/blog/bayesian-plackett-luce-model-pinball-competition/) | ||
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![](https://raw.githubusercontent.com/rweekly/image/master/2024/W40/pinball.png) | ||
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+ [Estimating ecological network robustness with R: A functional approach](https://geekcologist.wordpress.com/2024/09/27/estimating-ecological-network-robustness-with-r-a-functional-approach/) | ||
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+ [Exploding, Impacting: looking at bioRxiv preprint view dynamics with R](https://quantixed.org/2024/09/24/exploding-impacting-looking-at-biorxiv-preprint-view-dynamics-with-r/) | ||
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### Resources | ||
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+ [Descriptive statistics by hand](https://statsandr.com/blog/descriptive-statistics-by-hand/) | ||
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+ [Handling large data with polars and tidypolars](https://www.handling-large-data.etiennebacher.com) | ||
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### New Packages | ||
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<!-- <p class="added-hostname"><a href="https://rweekly.org/live" target="_blank" class="externalLink">📦 <i>Go Live for More New Pkgs</i> 📦</a></p> --> | ||
<p class="added-hostname"><a href="https://dirk.eddelbuettel.com/cranberries/cran/new/" target="_blank" class="externalLink">📦 <i>Keep up to date wtih CRANberries</i> 📦</a></p> | ||
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**CRAN** | ||
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+ [{dsld} 0.2.2](https://matloff.wordpress.com/2024/09/23/new-r-package-data-science-looks-at-discrimination-dsld/): Data Science Looks at Discrimination | ||
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+ [{xmlwriter} 0.1.1](https://cran.r-project.org/package=xmlwriter): Fast and Elegant XML Generation | ||
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+ [{geocomplexity} 0.1.0](https://cran.r-project.org/package=geocomplexity): Mitigating Spatial Bias Through Geographical Complexity | ||
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![](https://raw.githubusercontent.com/rweekly/image/master/2024/W40/geocomplexity.png) | ||
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+ [{dotwhisker} 0.8.3](https://cran.r-project.org/package=dotwhisker): Dot-and-Whisker Plots of Regression Results | ||
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+ [{hexDensity} 1.4.4](https://cran.r-project.org/package=hexDensity): Fast Kernel Density Estimation with Hexagonal Grid | ||
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+ [{literanger} 0.1.1](https://cran.r-project.org/package=literanger): Random Forests for Multiple Imputation Based on 'ranger' | ||
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### Updated Packages | ||
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<i>🔍 [Search on R-universe](https://r-universe.dev/search/) 🔍</i> | ||
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+ [{Lahman} 12.0-0](https://cran.r-project.org/package=Lahman): Sean 'Lahman' Baseball Database - [diffify](https://diffify.com/R/Lahman) | ||
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+ [{broom} 1.0.7](https://cran.r-project.org/package=broom): Convert Statistical Objects into Tidy Tibbles - [diffify](https://diffify.com/R/broom) | ||
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+ [{httr2} 1.0.5](https://cran.r-project.org/package=httr2): Perform HTTP Requests and Process the Responses - [diffify](https://diffify.com/R/httr2) | ||
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+ [{feasts} 0.4.1](https://cran.r-project.org/package=feasts): Feature Extraction and Statistics for Time Series - [diffify](https://diffify.com/R/feasts) | ||
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+ [{DescTools} 0.99.57](https://cran.r-project.org/package=DescTools): Tools for Descriptive Statistics - [diffify](https://diffify.com/R/DescTools) | ||
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+ [{rio} 1.2.3](https://cran.r-project.org/package=rio): A Swiss-Army Knife for Data I/O - [diffify](https://diffify.com/R/rio) | ||
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### Videos and Podcasts | ||
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+ [Listen to the R-Weekly Highlights Podcast](https://serve.podhome.fm/r-weekly-highlights) | ||
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### Tutorials | ||
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+ [In-Place Modifications](https://jcarroll.com.au/2024/09/25/in-place-modifications/) | ||
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+ [100 Bushels of Corn](https://ninazumel.com/blog/2024-09-26-100bushels/) | ||
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+ [3MW (Creating Word Docs With R)](https://3mw.albert-rapp.de/p/creating-word-docs-with-r) | ||
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+ [Modeling loss aversion with extended-support beta regression](https://www.zeileis.org/news/lossaversion/) | ||
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+ [Shiny Assistant for Python - How to Build Shiny for Python Apps with GPT and GenerativeAI](https://www.appsilon.com/post/shiny-assistant-for-python) | ||
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+ [How to Create Horizontal Boxplots in Base R and ggplot2](https://www.spsanderson.com/steveondata/posts/2024-09-26/) | ||
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+ [How to Remove Outliers from Multiple Columns in R: A Comprehensive Guide](https://www.spsanderson.com/steveondata/posts/2024-09-24/) | ||
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<!--<div class="post-more-begin></div><div class="post-more-end"></div>--> | ||
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### R Project Updates | ||
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Updates from [R Core](http://developer.r-project.org/blosxom.cgi/R-devel/NEWS): | ||
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### Call for Participation | ||
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### Upcoming Events in 3 Months | ||
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Events in 3 Months: | ||
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+ [October 17 - Analyzing Time Series at Scale with Cluster Analysis in R workshop](https://r-posts.com/analyzing-time-series-at-scale-with-cluster-analysis-in-r-workshop/) | ||
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+ [October 3 - Probabilistic Network Inference and Analysis in R and Python workshop](https://r-posts.com/probabilistic-network-inference-and-analysis-in-r-and-python-workshop/) | ||
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+ [R/Pharma APAC track](https://rinpharma.com/post/2024-07-17-apac-track/) | ||
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+ [A list of R conferences and meetings](https://jumpingrivers.github.io/meetingsR/events.html) | ||
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+ [This week's local R-User and applied stats events](https://community.rstudio.com/c/irl) | ||
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+ [Weekly R Workshops for Ukraine](https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine) | ||
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### Connect | ||
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<i>[Join the Data Science Learning Community](https://DSLC.io/)</i> | ||
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### rtistry | ||
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<blockquote class="bluesky-embed" data-bluesky-uri="at://did:plc:ihadlwi4yb2xvfvsnzhesb6s/app.bsky.feed.post/3l4xuylw3em2i" data-bluesky-cid="bafyreiedevebih5gjvu652r75pbesstgrbqpk4jtfofzihgpevnyx22ase"><p lang="en">Here is my #viz for the #TidyTuesday challenge—W40. This one is about the Chess Game Dataset (Lichess). | ||
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🔗: stevenponce.netlify.app/data_visuali... | ||
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#rstats | #r4ds | #dataviz | #ggplot2<br><br><a href="https://bsky.app/profile/did:plc:ihadlwi4yb2xvfvsnzhesb6s/post/3l4xuylw3em2i?ref_src=embed">[image or embed]</a></p>— Steven Ponce (<a href="https://bsky.app/profile/did:plc:ihadlwi4yb2xvfvsnzhesb6s?ref_src=embed">@sponce1.bsky.social</a>) <a href="https://bsky.app/profile/did:plc:ihadlwi4yb2xvfvsnzhesb6s/post/3l4xuylw3em2i?ref_src=embed">September 25, 2024 at 5:03 AM</a></blockquote><script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script> | ||
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<blockquote class="bluesky-embed" data-bluesky-uri="at://did:plc:z32vf5hl3vdml7t3xcewztke/app.bsky.feed.post/3l4px6nxd5b2h" data-bluesky-cid="bafyreiaanwsg4szhsdposyyvbco3fsr4w4lwc4gtkc75oxpkglspatzjmm"><p lang="en">I've not done #tidytuesday in a longggg time and this week's dataset on dialogues from Shakespeare plays was a nice way to get back into it. Nothing too complicated, just a bump chart tracking the amount of dialogue for major characters. Everything in R with ggplot #dataviz #rstats<br><br><a href="https://bsky.app/profile/did:plc:z32vf5hl3vdml7t3xcewztke/post/3l4px6nxd5b2h?ref_src=embed">[image or embed]</a></p>— Aman Bhargava (<a href="https://bsky.app/profile/did:plc:z32vf5hl3vdml7t3xcewztke?ref_src=embed">@aman.bh</a>) <a href="https://bsky.app/profile/did:plc:z32vf5hl3vdml7t3xcewztke/post/3l4px6nxd5b2h?ref_src=embed">September 22, 2024 at 1:21 AM</a></blockquote><script async src="https://embed.bsky.app/static/embed.js" charset="utf-8"></script> | ||
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### Quotes of the Week | ||
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">A quick reminder that if you are scoring/recoding variables using the same logic in <a href="https://twitter.com/hashtag/rstats?src=hash&ref_src=twsrc%5Etfw">#rstats</a>, you can use across() to score those items all at once. <a href="https://t.co/KnYbIHKlqZ">pic.twitter.com/KnYbIHKlqZ</a></p>— Crystal Lewis (@Cghlewis) <a href="https://twitter.com/Cghlewis/status/1839690471691465086?ref_src=twsrc%5Etfw">September 27, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script> |