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#rprogramming

3 posts2 participants0 posts today

Ever wonder how the #tidyverse came to be? 🤔 #TheTestSet 's first episode features @hadleywickham on his accidental empire of #RStats packages, bear encounters, and more!

Stream "Spreadsheets, bikes, and the accidental empire of R packages" at:

thetestset.co
• Spotify: open.spotify.com/episode/7Cta4
• Apple Podcasts: podcasts.apple.com/us/podcast/

Super‑charging R with Oracle Database: Getting Started with the ROracle Driver

THIS WEEK! June 5, 2025 - 9am PT / 12pm ET

Sign up now!
r-consortium.org/webinars/supe

Find out about ROracle installation and configuration steps, key features, performance best practices, and the future roadmap of the driver.

The webinar includes with a practical demo showcasing real-world data exploration and AI vector similarity search.

The R Consortium’s Infrastructure Steering Committee (ISC) is proud to announce the first round of 2025 grant recipients.

Find out about the seven new projects receiving support to enhance and expand the capabilities of the R ecosystem. The projects range from economic policy tools and ecological data pipelines to foundational software engineering improvements.

r-consortium.org/posts/r-conso

¡Reto #30DayChartChallenge 2025 COMPLETADO! 🎉📊 30 días, 30 visualizaciones con #RStats y #ggplot2.

Ha sido un viaje increíble explorando comparaciones, distribuciones, relaciones (¡animales!), series temporales (sociales, económicas) e incertidumbre (riesgo, exoplanetas, mapas...).

Puedes ver la galería completa (y todo el código) en mi repositorio:
📂 github.com/michal0091/dataviz/

¡Gracias por seguir el reto! #dataviz #DataVisualization #DataStorytelling #ChallengeComplete #Rprogramming

If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences.

The visualization included here was originally shared in a post by Dr. Alexander Krannich. Thanks to Alexander for inspiring me to create this post.

More details are available at this link: eepurl.com/gH6myT

Handling missing data is a critical step in data analysis, as failing to address it properly can lead to biased results and reduced analytical power. The mice package for R, short for Multivariate Imputation by Chained Equations, provides a robust and flexible framework for handling missing values through multiple imputation.

The visualizations shown below originate from the package website: github.com/amices/mice

More info: eepurl.com/gH6myT

Local regression is a non-parametric method for fitting smooth curves to data by applying multiple localized regressions. It is useful for uncovering non-linear relationships when the data’s exact form is unknown. Proper use of local regression can reveal trends in noisy data, but poor implementation might lead to misleading results.

Image: en.wikipedia.org/wiki/Local_re

More details: eepurl.com/gH6myT

Visualize genomic data with ease using gggenomes, an R package that extends ggplot2 to handle and display genomic information intuitively. Whether you’re comparing genomes, analyzing features, or showcasing synteny, gggenomes provides the tools you need to turn complex genomic data into clear, informative visualizations.

Visualization: github.com/thackl/gggenomes

Further details: statisticsglobe.com/online-cou

‼️Less than 24 hours left to submit your proposals for the #CascadiaR #Conference. Don't miss this chance! Submit your 15-min full talks and 5-min lightning talks today at cascadiarconf.com/cfp/ The Call for Presentations closes February 14 at 5PM PT.
#DataScience #RProgramming #R #RStats

CascadiaRConfCall for PresentationsCascadia R Conference is an R conference serving the Pacific Northwest region (Alaska/British Columbia/Washington/Oregon/California).

When it comes to learning data science, statistics, and programming, having the right resources is essential.

You can find all links and further descriptions here: statisticsglobe.com/statistics

If you are looking for a structured course that helps you get started with these topics, you may check out my introduction to R programming course. Further details: statisticsglobe.com/online-cou

Summer School: Data Literacy with R for Humanities Students
4-15 August 2025
Charles University, Prague, Czechia
Learn R programming, data tidying, and visualization in a supportive environment tailored for humanities students.

Free of charge! Includes travel reimbursement, accommodation, and per diems.
Application deadline: 28 February 2025
Bring your laptop & headphones!
#DataLiteracy #RProgramming #DigitalHumanities #SummerSchool #DataScience #RStats

ufal.mff.cuni.cz/events/summer

ufal.mff.cuni.czSummer school: Data Literacy with R for Students of Humanities | ÚFAL