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A correlation matrix is a nifty visualization for displaying relationships between multiple variables. The {ggcorrmat} function from {ggstatsplot} 📦 creates such matrices with significance testing and other descriptive details ↔️ https://t.co/rbwEs6qVON #rstats #DataScience https://t.co/EDPanyNE0x
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I recently came across a really neat way of explaining R² and shared variation in regression models using Euler/Venn diagrams, so I wrote up a bunch of examples of how to make these plots using #rstats https://t.co/NYlgsgUllZ https://t.co/fTXZ6LxG6b
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So many books in so many (spoken and programming) languages, and all completely OPEN and FREE! 📚 {bookdown} 📦 is a godsend. 🙏 Check out the full list of available books here 👇 https://t.co/W513gTh6qo #rstats #DataScience #AcademicTwitter https://t.co/HQH9eQijxG
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The tidyverse team is taking next week (Aug 9-13) off. Time away is so important for sustainable open source maintenance; we all need a break to recharge. You won’t hear from us on GitHub next week, but we look forward to working with y’all again when we get back! #rstats
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ROC curves provide a convenient way to compare responses and predictions of a binomial model. The {performance_roc} function from {performance} 📦 computes AUC metric and visualizes ROC curves for a collection of models 🥇🥈🥉 https://t.co/ZKty2kA5Br #rstats #DataScience https://t.co/LYJgfvZHIF
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A reproducible example showing how to create a figure of map layers in R https://t.co/bInB7eHpzd 🗺️ #rstats #rspatial Thanks to @geospacedman & @obrl_soil who have helped with this before and to @StefanJuenger for creating and elegant function to tilt sf objects https://t.co/4uQ5PF7GZJ
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Sometimes we may wish to check all relevant assumptions for a regression model in one go. 🔍 The {check_model} function from {performance} 📦 does exactly this and also provides elegant visualizations with helpful pointers ✅📊 https://t.co/4SIIL0u9Jn #rstats #DataScience https://t.co/EMmye4qAZk
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Correctly specifying a distribution family for regression model can improve estimate accuracy. But what if we’re unsure? The {check_distribution} function from {performance} 📦 uses Random Forest to help you reconsider the choice ⚠️ https://t.co/qD7cQvNLLz #rstats #DataScience https://t.co/MLhkCT2cwh
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Completely written and knitted in Rmarkdown 💪 #rstats https://t.co/vXV8V1YpVe
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Free eBooks: 100+ Free Data Science Books. #NeuralNetworks #MachineLearning #TensorFlow #100DaysOfCode #BigData #Analytics #DevCommunity #Programming #IoT #javascript #Linux #Cloud #Serverless #womenwhocode #Python #RStats #DeepLearning #AI #DataScience https://t.co/oKbTu2WlIi https://t.co/6RzDLjJemi