6 New books added to Big Book of R
R-bloggers | R news and tutorials contributed by (750) R bloggers
by Oscar
6h ago
[This article was first published on R programming – Oscar Baruffa, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. I’m very happy to announce the addition of 6 new books to the Big Book of R collection, which now stands at about 420 books in total! Thanks to Isabella Velásquez, Emil Hvitfeldt and Metehan GÜNGÖR for their submissions :). If you’d like to help out a little to cover my annual costs for keeping Big Book of R going, you’re most welcome. I ..read more
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[very] simple rejection Monte Carlo
R-bloggers | R news and tutorials contributed by (750) R bloggers
by xi'an
15h ago
[This article was first published on R – Xi'an's Og, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. “In recent years, the Rejection Monte Carlo (RMC) algorithm has emerged sporadically in literature under alternative names such as screening sampling or reject-accept sampling algorithms” First, I was intrigued enough by a new arXival spotted in the Thalys train from Brussels to take a deeper look at it, but soon realised there was nothing of substan ..read more
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Aligning Beliefs and Profession: Using R in Protecting the Penobscot Nation’s Traditional Lifeways
R-bloggers | R news and tutorials contributed by (750) R bloggers
by R Consortium
21h ago
[This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Angie Reed sampling Chlorophyll on the Penobscot River where a dam was removed  In a recent interview by the R Consortium, Angie Reed, Water Resources Planner for the Penobscot Indian Nation, shared her experience learning and using R in river conservation and helping preserve a whole way of life. Educated in New Hampshire and Colorado, Angie began ..read more
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Mastering Text Manipulation in R: A Guide to Using gsub() for Multiple Pattern Replacement
R-bloggers | R news and tutorials contributed by (750) R bloggers
by Steven P. Sanderson II, MPH
21h ago
[This article was first published on Steve's Data Tips and Tricks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Introduction In the realm of text manipulation in R, the gsub() function stands as a powerful tool, allowing you to replace specific patterns within strings effortlessly. Whether you’re cleaning messy data or transforming text for analysis, mastering gsub() can significantly streamline your workflow. In this tutorial, we’ll focus on how t ..read more
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Update vvtableau: Tableau Cloud Support
R-bloggers | R news and tutorials contributed by (750) R bloggers
by VU Analytics
21h ago
[This article was first published on vusaverse, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Announcing Tableau Cloud Support vvtableau In our latest update, we’re excited to announce that vvtableau now supports Tableau Cloud, expanding its capabilities beyond Tableau Server to include the cloud-based platform. This significant enhancement allows users to automate tasks across both Tableau Server and Tableau Cloud, providing a unified interface f ..read more
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Mastering the map() Function in R: A Comprehensive Guide
R-bloggers | R news and tutorials contributed by (750) R bloggers
by Steven P. Sanderson II, MPH
21h ago
[This article was first published on Steve's Data Tips and Tricks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Introduction In the world of data manipulation and analysis with R, efficiency and simplicity are paramount. One function that epitomizes these qualities is map(). Whether you’re a novice or a seasoned R programmer, mastering map() can significantly streamline your workflow and enhance your code readability. In this guide, we’ll delve int ..read more
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Title: Mastering the map() Function in R: A Comprehensive Guide
R-bloggers | R news and tutorials contributed by (750) R bloggers
by Steven P. Sanderson II, MPH
2d ago
[This article was first published on Steve's Data Tips and Tricks, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Introduction In the world of data manipulation and analysis with R, efficiency and simplicity are paramount. One function that epitomizes these qualities is map(). Whether you’re a novice or a seasoned R programmer, mastering map() can significantly streamline your workflow and enhance your code readability. In this guide, we’ll delve int ..read more
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A webR powered Shiny app for browsing TidyTuesday plots
R-bloggers | R news and tutorials contributed by (750) R bloggers
by R on Nicola Rennie
2d ago
[This article was first published on R on Nicola Rennie, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. A Shiny app that automatically updates every week without the need to re-deploy it? Without the need to host a server running R? Sound too good to be true? It’s not. Read on for an overview of how I built a Shiny app to browse and display my #TidyTuesday plots, which automatically updates every time I make a new plot. What is #TidyTuesday? For tho ..read more
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R dtplyr: How to Efficiently Process Huge Datasets with a data.table Backend
R-bloggers | R news and tutorials contributed by (750) R bloggers
by Dario Radečić
2d ago
[This article was first published on Tag: r - Appsilon | Enterprise R Shiny Dashboards, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In a world where compute time is billed by the second, make every one of them count. There are zero valid reasons to utilize a quarter of your CPU and memory, but achieving complete resource utilization isn’t always a straightforward task. That is if you don’t know about R dtplyr. One option is to use dplyr. It’s sim ..read more
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PowerQuery Puzzle solved with R
R-bloggers | R news and tutorials contributed by (750) R bloggers
by Numbers around us
2d ago
[This article was first published on Numbers around us - Medium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. #167–168 Puzzles Author: ExcelBI All files (xlsx with puzzle and R with solution) for each and every puzzle are available on my Github. Enjoy. Puzzle #167 Today we have little bit messed up table with very important information. This table has information about vaccination and we need to check if patient was notified about it and if d ..read more
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