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2019/11/06
I was trying to explain to novices what #rstats {magrittr} pipe does and all I could think of is these two examples https://t.co/53Vxgtxh62
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2019/10/30
One of my fave/most frequently used #rstats commands: options(scipen = 999) turns off scientific notation in R, aka turns 5.3e-2 to 0.053 😇🙏🏻
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2019/10/23
I 💜 WPA style National Park posters and often look for color schemes from them so I decided to make an #rstats package! I’ll write a blog post with examples soon, but for now feel free to try them out and let me know what you think! 18 to choose from!🌲🏔 https://t.co/9Ag5yy6NrM https://t.co/119qWsl6Vg
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2019/10/16
The remarkable decline in infant mortality, split by continent. #rstats https://t.co/hiUQpDRK9z
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2019/10/09
The first five chapters of https://t.co/0mhQs57TDp are basically complete — this should be a great place to start if you’ve ever wanted to learn Shiny, and I’d love your feedback about what is confusing and what questions your still have #rstats
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2019/10/02
Learned last week from the man himself (JJ Allaire) that you can execute Python scripts in RStudio and it just knows #rstats (the first reticulate command auto-ran) https://t.co/WdX8Evzqwg
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2019/09/25
NEW POST: (Re)Launching my supervised machine learning course 💫 This course on predictive modeling with #rstats is based on the ✨amazing✨ framework by @_inesmontani, and was built in collaboration with @cantoflor_87! https://t.co/ZEmmGqFSaf https://t.co/YfTvRvJQQw
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2019/09/18
RVerbalExpressions, where were you 10 years ago https://t.co/7QLjDcd2Tt #rstats https://t.co/r9RB9ZJLwd
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2019/09/11
I’m reviewing regression in my program evaluation class today, and the equatiomatic #rstats package by @datalorax_ is incredibly useful for connecting code to equations! https://t.co/ilydOi3LAg https://t.co/aRRE6AVDpw
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2019/09/04
🎉🎉🎉 I am beyond excited to finally release ggraph v2, a major upgrade that has been in the works for years. If you are into #dataviz and network analysis, this is for you! #rstats https://t.co/CaiBqHLTfH
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2019/08/28
Looking for teaching material for intro to #rstats and the #tidyverse? I’ve made mine easier to reuse. Please help yourself: https://t.co/gFWZG5iAqO @rstudio @hadleywickham
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2019/08/21
📣 Now on CRAN. Neat pkg for importing and inspecting the messiest of spreadsheets… “tidycells: Read Tabular Data from Diverse Sources and Make Them Tidy” by @IndranilGayen https://t.co/6C6H3kPmnO #rstats https://t.co/hvZ4g97l5p
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2019/08/14
Excited to announce my next book project: mastering shiny, https://t.co/0mhQs57TDp. I didn’t write shiny, but I’m having fun writing about it! #rstats
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2019/08/07
Do you want to make beautiful plots w/ ggplot2? Check out @CedScherer’s step-by-step walkthrough of how they evolved “a dreary gray boxplot to a self-explanatory, colorful visualization”! #rstats https://t.co/VGmlMa10Qv https://t.co/PScq0gdMpP
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2019/07/31
[on a date] her, a data scientist: and what would you name our kid if we had a girl? me: Iris her: looking hopeful after the flower? me: after the data set. her: tearing up that’s right. that’s the right answer. #rstats #epitwitter
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2019/07/24
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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2019/07/17
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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2019/07/10
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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2019/07/03
NEW POST: Reorder categories when facetting with ggplot2 #rstats https://t.co/Qne1sgtRhK https://t.co/gAkijh2C98
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2019/06/26
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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2019/06/19
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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2019/06/12
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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2019/06/05
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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2019/05/29
[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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2019/05/22
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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2019/05/15
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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2019/05/08
Wow, this is it! It’s exactly as I imagined. #rstats https://t.co/yIBBscg2hw
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2019/05/01
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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2019/04/24
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
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2019/04/17
说说我在 Linux 下写书所用的工具，希望对感兴趣的朋友有所参考： * 源文档：R Markdown，原生的 Markdown 就行，但它有一些不错的扩展特性。 * 目标文档：可产生 LaTeX 再最终生成 PDF、类似 GitBook 的 HTML、ePub，Mobi 再由 ePub 转制。 * 底层：Pandoc * 上层：Bookdown * 优点：一种源，多种输出