I just published a very basic introduction to using Boston's #Bluebikes bikeshare system data in #RStats. IMHO this is a great, underutilized dataset and is especially well-suited for student projects!
Thank you continuous backups! I was working in RStudio and the git pane was showing "./" as being staged and I was unable to unstage it. It displayed a small amount of code from one R function, so I just reverted it after backing up that file... which reverted ALL the files in the repo to their last state (with days worth of work being gone) 😬 😬 😬
Thankfully I was able to pull versions of the files from an hour prior from backblaze, with minimal work lost
Check out another fireside chat hosted by Audrey Yeo, featuring Heather Turner and Abhishek Ulayil. This week's chat is on building foundations for R’s future as an accessible and diverse collaboration.
Heather is an R Foundation member with a strong track record promoting diversity in contributions to R, while Abhishek has recently converted the R Journal content to more accessible web content, and keynote speaker at useR! 2024.
The End To End Data Science With R is a new book by Rene Essomba. The book, as the name implies, focuses on the core data science applications using R ❤️. This book covers the following topics:
✅ Exploratory data analysis
✅ Data visualization
✅ Supervised learning
✅ Unsupervised learning
✅ Time series
✅ Natural language processing
✅ Image classification
It would enable the relatively easy creation of serious games and interactive exercises to learn R or statistics (or with the {rock} package, qualitative research); combining R with a simple game/adventure engine.
We're very excited to be hosting three reading groups at eCOTS over the next few weeks, and we'll be introducing them this week!
The first reading group is on the topic of "What do students learn from simulations in statistics?" and is facilitated by Andrew Pua, and will be happening May 21 10pm BST / 5pm EDT / May 22 5am Philippine Standard Time
The April 2024 release of Posit Package Manager brings support for air-gapped PyPI repositories, more flexible curated CRAN repositories, performance improvements and more!
For model calibration (esp via logistic regression), does anyone know of a statistical investigation of the properties of the resulting calibrated predictions?
IOW, if we use predictions from one model as inputs to another model, do we know the probability distribution of the final predictions?
🚀 Elevate Your R Programming Skills: Removing Elements from Vectors
Want to level up your R programming game? Let's talk about removing specific elements from vectors! It's a fundamental skill.
But here's the real fun: try it yourself! Experiment with your own data and see which method resonates with you. To get yourself familiar with what's happening, you have to experiment.
I've always wanted to try to get axis text directly on my plots like I've seen in the New York Times and other places. Finally figured it out with the help of the {ggh4x} package. Code here: https://rfor.us/axistext#rstats
Learn how to handle rows in R containing specific strings using base R's grep() and dplyr's filter() with str_detect(). Select or drop rows efficiently and enhance your data manipulation skills. Give it a try with your datasets for better data cleaning and organization.