PhD Pathophysiology, data science and machine learning addicted :)
Kyiv, Ukraine
Joined November 2016
- Tweets96
- Following51
- Followers19
- Likes240
De Stroy retweeted
Labor of love completed, the Intro and Advanced {gt} Cookbooks w/ #rstats are live!
Check them out, and let me know what other things you'd like to see.
themockup.blog/static/gt-coo…
De Stroy retweeted
Really impressed with the model diagnostic plots that can be easily generated using the 'check_model()' function in the {performance} #Rstats package easystats.github.io/performa…
De Stroy retweeted
Starting next Friday, I'll be teaching a brand new course called Advanced Data Science in R. I'm posting most of the material publicly. Yes, I will be prepping up to the last minute each week. Also, another {distill} site!
advanced-ds-in-r.netlify.app…
De Stroy retweeted
[Make Advanced Statistical Plots] OK - This is seriously cool. With ggstatsplot I can make PUBLICATION-QUALITY statistical plots (with statistical test results) in 1-LINE-OF-CODE. Where were you when I was in school!! Article: buff.ly/2OcUPjc
#datascience #rstats #python
De Stroy retweeted
[Video] Statistical plotting has never been easier with the NEW {ggstatsplot} package! Seriously - Make plots in 1 LINE OF CODE! buff.ly/3suLKRD
#rstats #python #datascience
De Stroy retweeted
{patch}: Code Completion for variable contents in #Rstats ayushpatel.netlify.app/2020/…
De Stroy retweeted
All 188 plots contained in "A #ggplot2 Tutorial for Beautiful Plotting in #Rstats"
🔖 The full tutorial here: cedricscherer.netlify.app/20…
🛠️ All codes here: cedricscherer.netlify.app/fi…
De Stroy retweeted
Redid my NFL DataViz guide to work w/ @nflfastr !
Examples/code for:
- Most Common plots (scatter, bar, line, distributions, team logo)
- Descriptive stats w/ #Tidyverse
- Tables w/ {gt}
jthomasmock.github.io/nfl_pl…
Check it out for some tips & tricks for #rstats + NFL data viz.
De Stroy retweeted
efficiently labeling variables: a useful skill if you make a lot of #rstats tables👩🏼💻
feat. labelled, snakecase, stringr & gtsummary 📦s
De Stroy retweeted
Just learned an amazing #rstats trick: You can embed #learnr apps using `knitr::include_app()` for live coding demos *inside* #xaringan slides! 🤯 This way you don't have to switch b/w slides and #rstudio IDE for live demos, reducing cognitive load. #rmarkdown knows no bounds! 🤩
De Stroy retweeted
Great article by @adamribaudo on using #ggplot to recreate graphs from the #storytelling with data book that I'm reading noisetosignal.io/2020/07/rec… #DataScience #Rstats
No way there is a more elegant solution to filter out columns by type than this purrr'e elegance 👇
#RStats #tidyverse
De Stroy retweeted
In a recent podcast with @wandb, I expressed my enthusiasm for Julia as a language, but also my concern that it may be overly reliant on unsustainable venture capital financing.
That may not be a fair concern. 1/
wandb.com/podcast/jeremy-how…
De Stroy retweeted
Wow. The beta version of @rstudio has a "visual editing" mode for Rmarkdown files. Basically converts Rstudio to a Word-like editor that makes it easy to do Markdown formatting/insert images/equations/bunch of other stuff. Download: rstudio.github.io/visual-mar… #rstats
De Stroy retweeted
Excited to announce that {equatiomatic} is *finally* on CRAN! Easily render R model objects into LaTeX equations for R Markdown. datalorax.github.io/equatiom…
De Stroy retweeted
A pretty deep analysis of the data! We’re happy to make tools that help.
What makes a cup of coffee memorable? Using the #tidymodels framework, I explore a recent #TidyTuesday data set containing coffee quality data and train three models to predict coffee rating scores.
desmondchoy.netlify.app/2020…
#rstats
De Stroy retweeted
The 0.0.3 version of my translation of the second edition of @rlmcelreath’s “Statistical rethinking” into #brms and the #tidyverse is up!
bookdown.org/content/4857/
1/9
De Stroy retweeted
Introduction to confusion matrix and ROC curves:
"Roc(k) is confusing: or the link between machine learning and epidemiology"
Lecture has been developed in “xaringan” R package
youtube.com/watch?v=-Cm_jpnA…
#RStats #Statistics #DataScience #MachineLearning
