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  • 2022/02/27 Teaching linear regression this semester? Check out this Shiny app: https://t.co/mIKXgG3XwM My students did such a great job at “eyeball regression” I had to edit the code to add more noise to the data! πŸ‘€πŸ“ˆπŸ€― #rstats #rShiny https://t.co/d1lnrmCGE1
  • 2022/02/13 \begin{thread} Here are some LaTeX tricks I’ve found useful when writing PDF reports in RMarkdown, with a focus on less well-documented tricks that took me longer to find. #RStats
  • 2022/02/06 πŸ˜€ I’m very happy to share #RStats slides (~240) from my course “R For Beginners”. It includes five modules - basics of R, Rmd docs, viz, dplyr, & xaringan. The beautiful CSS slide style is adapted from the work of @apreshill. Please give ur feedback πŸ”— https://t.co/oPXfmhsY6N
  • 2022/01/30 As requested by some of you, there is now a book of these posts! πŸ“— https://t.co/ziDsn8dFCR Makes it easy to- πŸ“‘ read πŸ” search πŸ”— share etc. It ain’t pretty, but that’s the best I’d do in a day πŸ˜… PRs welcome if you notice that something is amiss πŸ™ #rstats #DataScience https://t.co/IjS8FalXRd
  • 2022/01/23 Lecture slides for my ‘Data Science Programming Methods’ course STAT 447 from this Fall 2021 at U of Illinois are now accessible via https://t.co/hHewPJY3pl covering shell (incl sed/awk), markdown, git(hub), sql, lots of #Rstats up to packaging, and Docker. Enjoy! https://t.co/Dv6XSO1ZWj
  • 2022/01/16 We recently updated code & data for our #spatialecology book to work with the latest version of R / R packages #rstats. Will post to @uflib digital repository in the next couple of weeks, but DM me if you would like it sooner. @FortinMJ https://t.co/Tco6Ixg1bB
  • 2022/01/09 WOW. Easy and pretty, on #data labelling with the #rstats geomtextpath pkg! πŸ“¦ ggplot() + geom_textline() geom_textdensity() geom_textsmooth() https://t.co/mUkGgpSzbs https://t.co/p1vkdHtp2h
  • 2022/01/02 I spent new years eve creating a data viz of the books I read in 2021. #DataViz #RStats #GGPlot2 #Reading https://t.co/5hzcZ5T8RP
  • 2021/12/26 35 derslik R’da Δ°lk AdΔ±mlar serisini paylaştΔ±m. BaşladΔ±k artΔ±k 😊 FaydalΔ± olmasΔ±nΔ± dilerim. Oynatma listesi: https://t.co/f2Y6v6BKpr #rstats #rstatstr https://t.co/vIkW36EPg9
  • 2021/12/19 πŸ“š Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R πŸ‘€ Paul Roback and Julie Legler πŸ”— https://t.co/gbk0yfCAe9 #rstats #datascience https://t.co/ycNIaTbxx4
  • 2021/12/12 ✨✨New Package✨✨ Happy to announce that I am soft launching my R color palette package {MetBrewer} today! Currently has over 30 palettes inspired by works at the @metmuseum and expanding! Download Instruction and Palettes here: https://t.co/Imk2UzfJiz #r4ds #dataviz #rstats https://t.co/oWlSFOpEKh
  • 2021/12/05 Today is launch day!πŸš€πŸš€ I am super excited to introduce Tidy Data Tutor a web application for visualizing your #rstats #tidyverse data analysis pipelines: https://t.co/7DuRg1ilMm (Developed with Philip Guo) https://t.co/kHzi1GGoYM
  • 2021/11/28 The first important step of a data analysis workflow is to make sure that everything about your data β€œmakes sense”. The {diagnose} function from {dlookr} πŸ“¦ provides a detailed data diagnosis report that makes this step easy! πŸ” https://t.co/UoUEdrfUTU #rstats #DataScience https://t.co/eVxrpd0rjc
  • 2021/11/21 Pie charts provide an informative but imperfect way to visualize categorical data, but squared pie (or waffle) charts overcome some of these imperfections. The {waffle} function from the eponymous πŸ“¦ easily produces them πŸ§‡ https://t.co/OxtCuCMhHF #rstats #DataScience https://t.co/1ui2OqHJ8k
  • 2021/11/14 #rstats tip of the day: The tayloRswift package from @adastephenson now offers a ggplot2 palette for Red (Taylor’s Version) https://t.co/WhDH5dcfvA https://t.co/NPRehrUlxg
  • 2021/11/07 My new map shows the % of female researchers in Europe, according to UNESCO data. Link to the data source is in the map just below the legend. πŸ‘©β€πŸ”¬ #women #science #womenintech #rstats #maps #dataviz #DataScience https://t.co/HB9ThI0SoV
  • 2021/10/31 πŸ“š R for Data Science πŸ‘€ Hadley Wickham @hadleywickham, Garrett Grolemund @StatGarrett πŸ”— https://t.co/o8y97kSYR5 #rstats #datascience https://t.co/DEjUpcnQiT
  • 2021/10/24 A population density map of long, slinky Chile. Took a bit of time to find an angle I like. #rayshader adventures, an #rstats tale https://t.co/ulU36V34tw
  • 2021/10/17 πŸ“šπŸ“Š Data Visualization with R πŸ‘€ Robert Kabacoff @kabacoff πŸ”— https://t.co/XjomFm3k4g #rstats #datascience
  • 2021/10/10 Sometimes you may wish to sample only a portion of the data. The {slice} function family from {dplyr} πŸ“¦ provides helpers to do so βœ‚οΈ https://t.co/4tt17FnvnM #rstats #DataScience https://t.co/9e8pS7KjFn
  • 2021/10/03 The most beautiful Table 1 I’ve ever made 😍 Thanks to modelsummary by @VincentAB #dataviz #rstats https://t.co/6uJsVEmHiI
  • 2021/09/26 I mapped forest cover in Europe on the municipality level using Copernicus satellite data 🌳🌲. Enjoy the greenery and freshness from afar! #forests #nature #dataviz #DataScience #BigData #rstats #maps https://t.co/m73ivLL8Ub
  • 2021/09/19 A great resource, a book I’d recommend anyone focusing on data visualization to use. #DataAnalytics #DataScience #RStats https://t.co/IUMZgh5i8v
  • 2021/09/12 How should you start a lit review? Use #litsearchr an #rstats package for automatically searching literature using text-mining and keyword co-occurrence networks. The code allows for reproducible science too! Work by @ElizaGrames https://t.co/BGD1lwSvXv https://t.co/7UD94TV56j
  • 2021/09/05 Type I error vs Type II error as simple as you never imagine πŸ˜…πŸ˜… #statistics #datascience #rstats #python https://t.co/wCudIvsHoY
  • 2021/08/29 A correlation matrix is a nifty visualization for displaying relationships between multiple variables. The {ggcorrmat} function from {ggstatsplot} πŸ“¦ creates such matrices with significance testing and other descriptive details ↔️ https://t.co/rbwEs6qVON #rstats #DataScience https://t.co/EDPanyNE0x
  • 2021/08/22 I recently came across a really neat way of explaining RΒ² 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
  • 2021/08/15 So many books in so many (spoken and programming) languages, and all completely OPEN and FREE! πŸ“š {bookdown} πŸ“¦ is a godsend. πŸ™ Check out the full list of available books here πŸ‘‡ https://t.co/W513gTh6qo #rstats #DataScience #AcademicTwitter https://t.co/HQH9eQijxG
  • 2021/08/08 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
  • 2021/08/01 ROC curves provide a convenient way to compare responses and predictions of a binomial model. The {performance_roc} function from {performance} πŸ“¦ computes AUC metric and visualizes ROC curves for a collection of models πŸ₯‡πŸ₯ˆπŸ₯‰ https://t.co/ZKty2kA5Br #rstats #DataScience https://t.co/LYJgfvZHIF
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