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I've been working on a total rewrite of dtplyr, which lets you take advantage of (almost all of) data.table's speed while using dplyr syntax. The package is still in development, but I'd love for you to try it out and let me know how it goes: https://t.co/MXogoZ2lvu #rstats
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The {modelsummary} #rstats package is now available on CRAN. Create beautiful and endlessly customizable tables to display results from your statistical models. https://t.co/4JpeaqEtAi 1/n https://t.co/94BPdrGJqe
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a <- factor(c("character", "in", "the", "streets")) b <- factor(c("integer", "in", "the", 'sheets')) c(a, b) #> [1] 1 2 4 3 2 1 4 3 #rstats
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NEW POST: Reorder categories when facetting with ggplot2 #rstats https://t.co/Qne1sgtRhK https://t.co/gAkijh2C98
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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