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1/5 THE LONG WAIT IS OVER! I'm happy to announce the release of rayshader with 3D ggplots. Pull up your favorite ggplot viz and throw it into the new plot_gg() function, and watch rayshader transform it into 3D. #rstats #rayshader #dataviz Blog post: https://t.co/acRROGgtRS https://t.co/tJrh04crE2
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If you’re an academic you need a website so that people can easily find info about your research and publications. Here’s how to make your own website for free in around an hour using the blogdown package in #Rstats [UPDATED 2019 THREAD] https://t.co/YhHkEWlemW
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Attention #rstats users: In a few weeks, I'm going to release #cowplot 1.0, and there are going to be some important changes from the current release. I encourage you to check out the development version now and verify things work for you. Thread. https://t.co/33pAELKTnd
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My first major PR as an @rstudio summer intern has been merged! #ggplot2 now has a new vignette on best practices for using it within an #rstats 📦. If you have an #rstats 📦 that uses ggplot give it a read and let me know what you think! https://t.co/mdGGAtPgEq
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[Free Textbook] #Probability Course, Harvard University (Based on R): https://t.co/5zBhmBNwEs ——— #DataScience #MachineLearning #Rstats #Statistics #StatisticalLiteracy #DataLiteracy #Mathematics #abdsc https://t.co/S6jEJHj06N
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Happy to announce that the #rstats/#rspatial package {biscale} for bivariate thematic mapping is now on CRAN! Thanks to @grssnbchr and @angelozehr for developing the workflow and @jscarto for the excellent palettes. All the details are here - https://t.co/INTbQD1kGE https://t.co/qdVK7tA1tb
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Big thanks to @sastoudt for awesome new stringr vignette: https://t.co/Jwe1DP6pgj. It compares base string functions to their stringr equivalents so that you more easily see the differences #rstats https://t.co/whoYgWw1ci
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Wow, this is it! It’s exactly as I imagined. #rstats https://t.co/yIBBscg2hw
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We are proud to officially announce RStudio v1.2 The IDE includes dozens of new productivity enhancements and capabilities Read the update at https://t.co/VwaUBFl5ap #rstats #DataScience https://t.co/8wEyafNMsf
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The update to "Statistical Rethinking with brms, ggplot2, and the tidyverse" is live https://t.co/alBJXHKIrf! Some of the major changes include: Refitting all models with #brms 2.8.0 Adopting the seed argument in all brm() models Updated workflow for the WAIC and LOO 1/n