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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
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2019/04/10
#rstats protip: lots of #leaflet maps will slow down #bookdown website builds (due to #pandoc), but you can avoid this by saving each map in a separate html file (htmlwidgets::saveWidget) and embedding them with iframes. You can also share lib dirs to reduce size.
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2019/04/03
I just taught a conference workshop for R newbies, and I wanted to send them home with an online booklet (https://t.co/kadYTvrazx) to try out. @xieyihui’s wonderful bookdown to the rescue! The sugar on top? @eddelbuettel ’s
binb package for the slides (https://t.co/RPldiCwbo5).
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2019/03/27
Excited to travel to Canberra, Australia as a keynote speaker for the @2019Young- thanks to @statsgen for wrangling the invitation! 💌 #ysc2019 https://t.co/Hx8kGm9RHs ➕ #xaringan title slide code below 👇🏾 (fave trick: use #rmarkdown::metadata$<KEY> to pull values from YAML) https://t.co/pBYq3S8db4
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2019/03/20
ICYMI, ⚔️ Instant preview, no rebuild required! “The Ultimate Infinite Moon Reader for xaringan Slides” 👨🏻💻 @xieyihui https://t.co/S96Gb0aifE #rstats #rmarkdown https://t.co/3Sb4xgH008
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2019/03/13
私が初めて知っただけですが、Jupyterもブック形式での出力に注力している様子。早期の開発版という状態。Bookdownにも敬意を払っていて素晴らしい。R,Python, Julia、言語を問わない利点は大きい。すでにいくつかあるけど、今後これを使った教材が増えていくのだろうな。 https://t.co/2BmqCO6s4K https://t.co/KSUdznrNqI
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2019/03/06
👉 #rstats and knitr tip! You can apply custom CSS to source and output code using the
class.source and class.output chunk opts. 🎉 And with knitr 1.22 (on GitHub now), you can apply custom styles to messages, warnings and errors! 🙏 @xieyihui! https://t.co/p1EzVBOCOE
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2019/02/27
THIS IS SO COOL!!! Instantaneous #xaringan #rstats slide previews! 🤩 @xieyihui, you rock! https://t.co/MEGhQCuq7e https://t.co/yYG5zIRM0C
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2019/02/20
Happy to share new tutorial on
ggstatsplot package! https://t.co/QwgL1w5bvi Attempts to explain (~ < 10 min.) - why this package exists - current functionality - benefits - limitations Big thanks to @xieyihui for #xaringan & @grrrck for CSS template! #rstats #dataviz #ggplot https://t.co/2cqJIkIie5
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2019/02/13
my #ggplot2 flipbook project is online! 😎🤓🤓 Incrementally walks through plotting code (#MakeoverMonday, soon #TidyTuesday plots). Using #xaringan with reveal function; thanks, @statsgen @grrrck. #rstats. https://t.co/bBBzv0iZLw https://t.co/tFtD78IOHZ