LukeTierney4, to random

I made a small package to allow codetools::checkUsage to run automatically on top level function definitions at the command line or in source(). Helps me to catch typos early.
https://gitlab.com/luke-tierney/checkUsageHooks

LukeTierney4,

Forgot to tag as #rstats. Also seems to work with code evaluated into the interpreter buffer in ESS and RStudio since Task Callbacks are triggered there as well.

hfrick, to random
@hfrick@mastodon.social avatar

Registration for virtual participation in posit::conf(2024) is open!

The blog post with more info: https://posit.co/blog/posit-conf-2024-virtual-experience-registration/

Straight to registration: https://reg.conf.posit.co/flow/posit/positconf24/reg/login

stevensanderson, to Blog
@stevensanderson@mstdn.social avatar

Hi, everyone! 👋

I'm excited to introduce a new content series! Each week:

Monday: Introduction to one of my packages.
Tuesday: Exploration of a specific R.
Wednesday: Integration of VBA and R.
Thursday: Practical examples.
Friday: Insights and snippets from my book, "Extending Excel with Python and R"

First post Monday!

Connect with me
https://www.linkedin.com/in/spsanderson
https://t.me/steveondata

#R #VBA #ContentSeries #Blog #RStats #RProgramming #Coding #Programming #Data

Post: https://www.spsanderson.com/steveondata/

ramikrispin, to python
@ramikrispin@mstdn.social avatar

Posit recently released a new Shiny extension for VScode, supporting both Shiny for R and Python 🚀

More details on the release post 👇🏼
https://shiny.posit.co/blog/posts/shiny-vscode-1.0.0/

Extension 🔗: https://marketplace.visualstudio.com/items?itemName=Posit.shiny

simonpcouch, to random
@simonpcouch@fosstodon.org avatar

odbc 1.5.0 is now on CRAN! This release includes a new helper for connecting to Snowflake databases, automatic driver configuration for Databricks on macOS, interruptible execution, better error handling, and lots more.

Learn more: https://odbc.r-dbi.org/news/index.html#odbc-150

Posit, to python
@Posit@fosstodon.org avatar

The Shiny for Python extension for VS Code is now officially the Shiny extension 🎉

The extension supports running Shiny for R apps in addition to Shiny for Python apps and has new features for interacting with ShinyLive from VS Code.

Learn more: https://shiny.posit.co/blog/posts/shiny-vscode-1.0.0/

stevensanderson, to datascience
@stevensanderson@mstdn.social avatar

Learn how to split strings and get the first element in R using base R, stringi, and stringr. Check out my latest post for examples and tips. Give it a try and share your experiences!

#R

Post: https://www.spsanderson.com/steveondata/posts/2024-06-05/

image/png

rpodcast, to datascience
@rpodcast@podcastindex.social avatar

Episode 167 of the @rstats @rweekly Highlights Podcast is a full (not partial) match with great R content! https://serve.podhome.fm/episodepage/r-weekly-highlights/issue-2024-w23-highlights

🛠️ Compa-tibble functions @grusonh
🏫 R tutorial worksheets with Quarto @nrennie

We're loving the ways we can add modern features to this show. Once you grab a new podcast app from https://newpodcastapps.com, you can see them in their full glory!

h/t @mike_thomas @jonmcalder 🙏

rOpenSci, to rstats Spanish
@rOpenSci@hachyderm.io avatar

📦 [A package a day - Data Extraction 5]

Today's Data Extraction package is CoordinateCleaner

Automated Cleaning of Occurrence Records from Biological Collections
🙏 Maintained by @biodivRsity
📝 https://docs.ropensci.org/CoordinateCleaner/

Check out this article: Cleaning GBIF data for the use in biogeography
📊 https://docs.ropensci.org/CoordinateCleaner/articles/Cleaning_GBIF_data_with_CoordinateCleaner.html




@rstats

coolbutuseless, to random
@coolbutuseless@fosstodon.org avatar

Introducing {naratext} - render text into nativeRaster objects

I wrote this pkg because I need to render text into nativeRaster and then interface/composite into other nativeRasters with {nara}

This is at the "proof-of-concept" stage, but looks promising!

#RStats

https://github.com/coolbutuseless/naratext/
https://github.com/coolbutuseless/nara/

Lluis_Revilla, to random
@Lluis_Revilla@fosstodon.org avatar

Do you want to improve messages in your language?
On July 2nd there will be another tutorial about how to translate R the easy way 😄
Is so easy last release includes my contributions in two languages: and Spanish.

If you see some message you want translated in those languages let me know and if you attend the tutorial I'll teach you how (and if not I'll do it myself 😃)

Register for the online : https://events.linuxfoundation.org/user/program/virtual-schedule/

Posit, to python
@Posit@fosstodon.org avatar

posit::conf(2024) virtual tickets are now available!
Join us on August 12-14—from all over the world—to live stream the incredible talks and keynotes that will be taking place in Seattle.

We understand that not everyone will be able to make the trip to Seattle this year, so we’re excited to offer a fully virtual offering for everyone as an alternate option.
REGISTER: https://posit.co/conference/

#posit #rstats #python #pydata #DataScience

stevensanderson, to programming
@stevensanderson@mstdn.social avatar
pglpm, to orgmode
@pglpm@emacs.ch avatar

Dear community:

I've started taking advantage of Emac's org-mode with R code snippets. So nifty!

One thing I miss from ESS-mode is the underscore key "_" that produces the assignment operator "<-". Do you know any way of having this functionality within R code blocks in an org document?

A search on stackexchange and the web didn't return very much, or only answers from 10 years ago...

Cheers!

EDIT: I found this useful tip in an old org-mailing-list thread: https://list.orgmode.org/4CC40000.3090508@uni-koeln.de/T/#efb9759d0d3a8ab22e391a385608c046a13e90502

>>> or some keybindings (e.g. for "<-") inside<br></br>>>> an R source code block.<br></br><br></br>This one can be done with<br></br><br></br>  (defun dan/org-underscore-command ()<br></br>    (interactive)<br></br>    (or (org-babel-do-key-sequence-in-edit-buffer "_")<br></br>        (org-self-insert-command 1)))<br></br><br></br>   (define-key org-mode-map "_" 'dan/org-underscore-command)<br></br><br></br>And another one that you may like is for commenting code:<br></br><br></br>  (defun dan/org-comment-dwim (&optional arg)<br></br>    (interactive "P")<br></br>    (or (org-babel-do-key-sequence-in-edit-buffer "M-;")<br></br>        (comment-dwim arg)))<br></br><br></br>   (define-key org-mode-map "M-;" 'dan/org-comment-dwim)<br></br><br></br>
Posit, to random
@Posit@fosstodon.org avatar

Announcing the marquee package - Markdown support for native rich text formatting in ggplot2 (and R graphics in general)!

Read more on the tidyverse blog: https://www.tidyverse.org/blog/2024/05/marquee-0-1-0/

Browse the package docs: https://marquee.r-lib.org/

#RStats #ggplot2

ramikrispin, to machinelearning
@ramikrispin@mstdn.social avatar

(1/2) I am excited to present at the useR!2024 conference on July 2nd!

I am going to run a virtual workshop about deployment and monitoring data and ML pipelines using free and open-source tools. This includes setting pipelines using GitHub Actions, Docker 🐳, R, and Quarto 🚀.

When 📆: July 2nd at 10 AM PST

smach, to rstats
@smach@masto.machlis.com avatar

Not traveling to Austria for next month's useR! conference? There's also a free virtual pre-conference on July 2! Sessions range from 4:30 to 21:30 CEST, so there's something for people in every time zone.
Topics include Redefining Interactive Data with Quarto and WebR, Stop Making Spaghetti (Code), Rix: Reproducible Environments with Nix, and more. Plus tutorials like Deploy and Monitor ML Pipelines with Open Source and Free Applications

https://events.linuxfoundation.org/user/program/virtual-schedule/

@rstats

rOpenSci, to rstats Spanish
@rOpenSci@hachyderm.io avatar

📦 [A package a day - Data Extraction 3]

Today's Data Extraction package is treeio

Base Classes and Functions for Phylogenetic Tree Input and Output
🙏 Maintained by Guangchuang Yu
📝 https://docs.ropensci.org/treeio/

Do you use this package? Tell us about it!
🗺️ https://discuss.ropensci.org/c/usecases/10




@rstats

stevensanderson, to opensource
@stevensanderson@mstdn.social avatar

Looks like my and .data #R packages are doing well post release. Seems the newest TidyDensity maybe the fastest downloaded for me yet!

helathyR.data I think will be the fastest yet for it as well, I'll be posting more about it as time goes on!

Thank you everyone who has tried them, contributed or offered advice and suggestions, would not be here without you!

stevensanderson, to programming
@stevensanderson@mstdn.social avatar
hfrick, to random
@hfrick@mastodon.social avatar

Registration for tutorials at useR! in Salzburg is open! I'll be teaching an in-person tutorial on Survival Analysis with tidymodels with @topepo .To register for the tutorial, log back into your conference registration and then modify it to include tutorials (and maybe a social event!) in Step 4 "Reg Options." It's a bit of clicking to get there, but the choice of tutorials and social activities is worth it!

To modify your registration: https://events.linuxfoundation.org/user/register/

adamhsparks, to random
@adamhsparks@rstats.me avatar

Funny how writing a blog post using your own package leads you to finding more friction points and eliminating them in the package. Similar to but not the same as writing whole new functions for the package. #RStats

RoedigerRG, to random

News!

biopixR, has reached version 1.0.0! From its humble beginnings to the latest updates, we've worked tirelessly to bring you powerful tools for image analysis and processing.

Improved examples
New functions: importImage and scanDir
Automated parameter calculation in objectDetection
Faster computation through vectorization

Browse through our journey: from edge detection to automated calculations, parallel processing, and more!

https://cran.r-project.org/package=biopixR

#biopixR #rstats #imageanalysis

Logo of the #biopixR package

yabellini, to random Spanish
@yabellini@fosstodon.org avatar
hrbrmstr, (edited ) to random
@hrbrmstr@mastodon.social avatar

In last Thursday's Drop, I mentioned Perplexity's new "Pages” and showed an example for Maine.

Here's a super alpha thing to make a "backup" of those pplx pages.

It saves off the raw JSON and a basic markdown of the page.

Code: https://codeberg.org/hrbrmstr/pplx-pages-backup

Example markdown: https://codeberg.org/hrbrmstr/pplx-pages-backup/src/branch/batman/Maine-Is-The-wKU9FnKPRvyowkZMEo9Lbw.md

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