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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! πππ€― #rstats #rShiny https://t.co/d1lnrmCGE1
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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
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2022/02/06
π 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 π https://t.co/oPXfmhsY6N
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2022/01/30
As requested by some of you, there is now a book of these posts! π https://t.co/ziDsn8dFCR Makes it easy to- π read π search π share etc. It ain’t pretty, but that’s the best I’d do in a day π
PRs welcome if you notice that something is amiss π #rstats #DataScience https://t.co/IjS8FalXRd
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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
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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
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2022/01/09
WOW. Easy and pretty, on #data labelling with the #rstats geomtextpath pkg! π¦ ggplot() + geom_textline() geom_textdensity() geom_textsmooth() https://t.co/mUkGgpSzbs https://t.co/p1vkdHtp2h
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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
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2021/12/26
35 derslik R’da Δ°lk AdΔ±mlar serisini paylaΕtΔ±m. BaΕladΔ±k artΔ±k π FaydalΔ± olmasΔ±nΔ± dilerim. Oynatma listesi: https://t.co/f2Y6v6BKpr #rstats #rstatstr https://t.co/vIkW36EPg9
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2021/12/19
π Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R π€ Paul Roback and Julie Legler π https://t.co/gbk0yfCAe9 #rstats #datascience https://t.co/ycNIaTbxx4
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2021/12/12
β¨β¨New Packageβ¨β¨ 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
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2021/12/05
Today is launch day!ππ 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
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2021/11/28
The first important step of a data analysis workflow is to make sure that everything about your data βmakes senseβ. The {diagnose} function from {dlookr} π¦ provides a detailed data diagnosis report that makes this step easy! π https://t.co/UoUEdrfUTU #rstats #DataScience https://t.co/eVxrpd0rjc
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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 π¦ easily produces them π§ https://t.co/OxtCuCMhHF #rstats #DataScience https://t.co/1ui2OqHJ8k
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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
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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. π©βπ¬ #women #science #womenintech #rstats #maps #dataviz #DataScience https://t.co/HB9ThI0SoV
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2021/10/31
π R for Data Science π€ Hadley Wickham @hadleywickham, Garrett Grolemund @StatGarrett π https://t.co/o8y97kSYR5 #rstats #datascience https://t.co/DEjUpcnQiT
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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
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2021/10/17
ππ Data Visualization with R π€ Robert Kabacoff @kabacoff π https://t.co/XjomFm3k4g #rstats #datascience
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2021/10/10
Sometimes you may wish to sample only a portion of the data. The {slice} function family from {dplyr} π¦ provides helpers to do so βοΈ https://t.co/4tt17FnvnM #rstats #DataScience https://t.co/9e8pS7KjFn
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2021/10/03
The most beautiful Table 1 I’ve ever made π Thanks to modelsummary by @VincentAB #dataviz #rstats https://t.co/6uJsVEmHiI
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2021/09/26
I mapped forest cover in Europe on the municipality level using Copernicus satellite data π³π². Enjoy the greenery and freshness from afar! #forests #nature #dataviz #DataScience #BigData #rstats #maps https://t.co/m73ivLL8Ub
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2021/09/19
A great resource, a book Iβd recommend anyone focusing on data visualization to use. #DataAnalytics #DataScience #RStats https://t.co/IUMZgh5i8v
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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
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2021/09/05
Type I error vs Type II error as simple as you never imagine π
π
#statistics #datascience #rstats #python https://t.co/wCudIvsHoY
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2021/08/29
A correlation matrix is a nifty visualization for displaying relationships between multiple variables. The {ggcorrmat} function from {ggstatsplot} π¦ creates such matrices with significance testing and other descriptive details βοΈ https://t.co/rbwEs6qVON #rstats #DataScience https://t.co/EDPanyNE0x
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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
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2021/08/15
So many books in so many (spoken and programming) languages, and all completely OPEN and FREE! π {bookdown} π¦ is a godsend. π Check out the full list of available books here π https://t.co/W513gTh6qo #rstats #DataScience #AcademicTwitter https://t.co/HQH9eQijxG
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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 wonβt hear from us on GitHub next week, but we look forward to working with yβall again when we get back! #rstats
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2021/08/01
ROC curves provide a convenient way to compare responses and predictions of a binomial model. The {performance_roc} function from {performance} π¦ computes AUC metric and visualizes ROC curves for a collection of models π₯π₯π₯ https://t.co/ZKty2kA5Br #rstats #DataScience https://t.co/LYJgfvZHIF