#rstats
Kirk Borne (@KirkDBorne; 535/221): [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 ↪
Gina Reynolds (@EvaMaeRey; 451/84): Made a basic racing barchart with #gganimate, because of inspiration from @FinancialTimes @jburnmurdoch. The steps: https://t.co/GPnMa56tiO #ggplot2 #rstats Part of a new project: “The Little Flipbook Library”! 😊 https://t.co/lD9ytQchKj https://t.co/RdLSy2I4k6 ↪
R-Cookbook (@R_cookbook; 385/61): We’re here to help new users learn to properly pronounce “runif”…
amongst other things, of course.
#rstats https://t.co/iYnLuHLm1h ↪
Kirk Borne (@KirkDBorne; 296/158): Download the most fabulous R Cheat Sheets designed by @Rstudio — https://t.co/eY55zVyXI7 #abdsc
————
#BigData #DataScience #DataMining #Statistics #MachineLearning #DeepLearning #AI #Rstats #Coding #DataViz #DataLiteracy #Rstudio https://t.co/XGYOYIXVua ↪
Dr Gavin Simpson (@ucfagls; 290/112): If you want to fit nonlinear relationships to data where those relationships can vary by groups (eg species) then we have a paper for you:
Hierarchical Generalized Additive Models https://t.co/v0yc5nTpQS in @thePeerJ #oa #ecology #rstats
w @ericJpedersen @millerdl @noamross https://t.co/OQLDWbaa94 ↪
Guillaume Rousselet (@robustgar; 191/83): New preprint with @CyrilRPernet & Rand Wilcox:
A practical introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations
https://t.co/GmjJgfy8Pz
#rstats tutorial with all the code + data here:
https://t.co/jjNhkDtlkk https://t.co/PUrxqCCpgb ↪
Dan Quintana (@dsquintana; 190/63): With the ’equatiomatic’ #Rstats package from @datalorax_, you can easily convert your fitted models into rendered LaTex equations https://t.co/ACMcSqwIuJ HT: @felipe_mattioni https://t.co/ZnmoNOeGQk ↪
R-bloggers (@Rbloggers; 187/66): RStudio in Docker – now share your R code effortlessly! {https://t.co/ZX6OZfpNmT} #rstats #DataScience ↪
Andrew Heiss, PhD (@andrewheiss; 180/59): Whoa, @noamross’s GAMS in #rstats mini course (https://t.co/64mcYPsDwu) is easy to follow, interactive, and pedagogically sound. It’s based on code by @_inesmontani for creating online courses: it’s a bunch of md files compiled together, with eg code running on binder dot org. ↪
R-bloggers (@Rbloggers; 168/38): The ‘see’ package: beautiful figures for easystats {https://t.co/ssP9GsxAX5} #rstats #DataScience ↪
Paul Campbell (@PaulCampbell91; 116/97): We’re expanding the data team at Epicentre-@MSF and are looking for R programmers/developers to help us build production quality packages and apps.
If you’re interesting in applying your R skills to major humanitarian projects - apply below! #rstats
https://t.co/FFpqWLECA7 ↪
blogdown
joshua (@reverendofdoubt; 16/2): While in bed this weekend under the weather, i managed to create the first rough version of my academic website using #blogdown with #Rmarkdown in RStudio, w/ the help of @dsquintana tweetorial on installing @GoHugoIO Academic theme. Lmk your thoughts!
https://t.co/iy8jihyb02 ↪
Danielle Navarro (@djnavarro; 14/1): Finally moving some content from blogdown to bookdown. At the risk of voicing a heretical opinion… the default gitbook style in bookdown has too much whitespace, uses incredibly unpleasant blockquotes, and the font is ugly. Am I a terrible person for thinking this???? ↪
joshua (@reverendofdoubt; 11/1): sick. in bed. wife went to a party looking gorgeous 😍.
…. too tired to work on analyses, so i’m blogdown to create a website #rstats ↪
Chi Zhang (Andrea) (@Andreasheenn; 8/2): Finally sat down at the desk and finished the 2nd blogpost on my takes on Women in Data Science Day Oslo since I started using #blogdown #rstats! @WiDS_Conference #WIDS2019 https://t.co/3oPTvZ3OKv That took long! 😅 ↪
TJ Moore (@tjmooreMPH; 4/0): The hardest part of making a personal website with #blogdown in R is writing about yourself. I 100% believe that PhD training should include how to write about one’s self because it comes up more often than you would think and it’s never easy. ↪
Ben Keith (@benlkeith; 3/0): @jpbach @angiemeeker The pipeline I’d use would be something like:
Rmd/blogdown generates simple HTML pages, which are embedded in WordPress using NPR’s Pym.js and https://t.co/3Ed1NO7hZn
or
Rmd generates content for a Jekyll or other blog
or
paste Rmd output into WordPress with liberal kses ↪
Ananthan Ambikairajah (@AnanthanAmbi; 3/0): Just finished making my own website using @rstudio (the blogdown package), @Netlify and @github! Click on the link below if you want to check it out!
https://t.co/x2SmsbDVxm
Also thank you to @dsquintana for your very helpful tutorial video which helped me get started! 😀 ↪
bynans (@bynans1; 3/0): -¿Estuviste toda la mañana tratando de armarte una página con Blogdown hosteada en Netlify?
-Creo que estoy ciegx https://t.co/czHOD3cPiK ↪
Henna Dialani (@hennadialani; 2/1): petition for a knockoff hoedown throwdown anthem for library(blogdown) #rstats ↪
Sally Grace (@sallyagrace; 2/0): @TalithaCFord flexing my mediocre R blogdown skills ↪
Ecléctikus (@scienceisbeauty; 1/0): @drizzt__dourden No conozco jinja2, Hugo está desarrollado en GO, pero no es necesario aprenderlo, basta con estándar html, CSS y Js. Yo lo utilizo vía RStudio y blogdown https://t.co/cEmKHPW0q7 ↪
Tatjana Kecojevic (@Tatjana_Kec; 1/0): @duygucandarli ❤️ #xarinan, #blogdown… all #Rmarkdown ↪
bookdown
JD Long (@CMastication; 29/11): #rstats folks doing bookdown & learnr… Duke is looking for some contract work customizing. Looks like a cool side gig: https://t.co/tHSMOJqnFH ↪
中澤 港％人類生態学者＠神戸大学 (@MinatoNakazawa; 18/16): 午前中2コマの講義が終わって研究室に戻ってきた。
Rコードを出力できてSPSSっぽい（らしい）GUI統計ソフトのjamoviがいつの間にか1.0.0.0になっていた。
https://t.co/HMmuLXC16T
“Learning statistics with jamovi"は英語版0.70，日本語版0.65が公開されている。
https://t.co/mQUD22RTtp ↪
Colin Fay 🤘 (@_ColinFay; 9/0): @i_steves @Hao_and_Y At @thinkR_fr we write internal bookdown that we keep on our GitLab and that are deployed to our internal @rstudio Connect :)
For pkg and things like that, everything is on GitLab ↪
Charles T. Gray (@cantabile; 8/1): TIL to reference a figure in bookdown::, do @ref(fig:<chunk name>) 🥐
In Figure @ref(fig:single-study-simulation),
In Figure @ref(fig:meta-analysis-simulation), ↪
Charles T. Gray (@cantabile; 7/1): Been deep-diving getting musical notation into bookdown::. For the life of me, I can’t figure out how to import a LaTeX 📦, and then I 🤔, maybe I’m going about this the wrong way. Now I’m trying to learning about unicode and ended up here, @CMastication
https://t.co/DT6T0ltwxL ↪
R for the Rest of Us (@rfortherest; 6/2): Check it out here: https://t.co/TqKYB48jZV #rstats https://t.co/Pm8NIj7Cah ↪
Charles T. Gray (@cantabile; 5/0): Not a day goes by where I don’t dip into @xieyihui’s ouvre. Cheers! You make thesis formatting fun.
https://t.co/CAKO2zfvgD https://t.co/wbBtxpxAcI ↪
Ananthan Ambikairajah (@AnanthanAmbi; 4/1): Interested in conducting a meta-analysis in R? I have come across an excellent introductory resource that takes you through the process step by step (with the associated code as well)!
Online book:
https://t.co/46i46IQGEZGitHub repository:
https://t.co/JR4eHu5h2IEnjoy! 😀 ↪
Charles T. Gray (@cantabile; 4/0): Argh, fuck it. I’ll caption in bookdown chunks instead. So much for my opinionated plot idea for today, @rensa_co @benmarwick https://t.co/lSahjIYwqV ↪
Jake Thompson (@wjakethompson; 3/1): @committedtotape A few others I have bookmarked:
bookdown: https://t.co/T2KyZY00G0
rtweet: https://t.co/NZCqkd80bM
tidytext: https://t.co/e03gRUOxgw
plotly: https://t.co/H6aeHUwMTz
spatial data science: https://t.co/GDTuaM1w26 ↪
Charles T. Gray (@cantabile; 3/0): @noamross Solidarity- my life is dominated by LaTeX/bookdown::/ggplot:: atm ↪
Shunsuke UCHINO (@suchino_hue; 2/1): jamovi、RをSPSSっぽく使える（当然無料）ということでDLしてちょっといじってみたけどこれほとんどSPSSだわ。今年の統計ゼミjamove使ってやろうかなと思うレベル
https://t.co/y0VrMcQTnb ↪
Jo Hardin (@jo_hardin47; 2/1): @committedtotape amazing book by @jmlstat and Paul Roback on generalized linear models. not specifically an #rstats book, but all examples / code in R. https://t.co/npqBgPN35h ↪
Matt Crump (@MattCrump_; 2/0): Time to make some R markdown templates…great little tutorial here on doing that…fingers crossed
https://t.co/vLBMe9DOEK ↪
Nayef Ahmad (@NayefAhmad4; 2/0): @umairdurrani87 @rstatstweet I think this might be a good resource: https://t.co/n9qonBSoww ↪
christopherlortie (@cjlortie; 1/1): #Monday #rstats #reading https://t.co/Q5oo8zbO6q ↪
Charles T. Gray (@cantabile; 1/0): @benmarwick @adamhsparks @alexpghayes @malco_barrett And that leaves the user free to write a short, custom caption in bookdown::, if they wish - and also label/cross-ref the figure.
Here I use “opinionated” in this sense:
https://t.co/0Xtmkh19Ut ↪
Charles T. Gray (@cantabile; 1/0): @benmarwick @adamhsparks @alexpghayes @malco_barrett Sidenote, ggplot:: allows you add a caption, as does bookdown:: so I got 🤔about harnessing this double-caption thing opinionated visualisation. Say, passing the parameterised caption to ggplot, to save the user writing dull simulation parameters out over and over. ↪
Charles T. Gray (@cantabile; 1/0): @JenRichmondPhD @adamhsparks Why, thank you!
First figure I’ve dropped into my thesis proper, in all its rebooted bookdown:: glory. So to hear it described as “beautiful” brings me so much hope!
Code -
https://t.co/VyHudfhrcK https://t.co/k04scPp5UV ↪
Martin Monkman (@monkmanmh; 1/0): @big_bad_sam Here’s some resources: https://t.co/qB7Wv4kcRz ↪
Martin Monkman (@monkmanmh; 1/0): @committedtotape Thanks for putting this together! Some more for your consideration:
Tidy Text: https://t.co/xl0Zk7DGvK
Applied Spatial Data: https://t.co/CGnSHr3vBo
R resource compendium (full disclosure: my humble effort)
https://t.co/XWI5PRZ65w ↪
Christopher Peters (@statwonk; 1/0): @CasperBojer @jim_savage_ I really like this one. 👍 https://t.co/Vw21TgMxf6 ↪
Chase Clark (@ChasingMicrobes; 1/0): @_ColinFay @i_steves @Hao_and_Y @thinkR_fr @rstudio I’ve started the the same recently, except I work in a chemistry lab and do both chem & rstats. Lab notebook is bookdown, chapters are months. Hopefully pulling thesis together will be easier 🤞 ↪
Craig Van Pay (@CKVanPay; 1/0): Additionally, nice (free) book here for using BRMS and the tidyverse from @SolomonKurz!
https://t.co/EA9KDRgQVL ↪
Ashwin Malshé अश्विन (@ashwinmalshe; 0/1): This is with #bookdown preview_chapter()
#rstats https://t.co/JRYzQ7gVs9 ↪
CRAN Package Updates (@CRANberriesFeed; 0/1): CRAN updates: BIOdry bookdown https://t.co/y5W2NTKSXT #rstats ↪
knitr
Metin Yazici (@strboul; 11/8): #rstats #rmarkdown Put
knitr::knit_exit()in a code chunk (or inline code) to knit the document until the line this code placed. Useful for documents when knitting takes long time. Cool trick @unsorsodicorda
https://t.co/ebRrtqDnFH ↪
Yihui Xie (@xieyihui; 7/1): @jm_alexia It’s hard to tell what happened in your case with this brief description. Could you do me a favor to file an issue (with a reproducible example and other required information per issue guide): https://t.co/nENqng1zjo? Thank you! ↪
Charles T. Gray (@cantabile; 5/0): fucking w00t
r knitr::asis_output("&#9834;")↪
Yihui Xie (@xieyihui; 5/0): @nj_tierney @jtrnyc @robjhyndman There are also stitch(), spin(), and knit_patterns. Also note that knitr supports Textile (render_textile()). I’m not a real knitter myself. I can only play that far :) ↪
Mohamad Ghassany (@M_Ghass; 3/1): Just discovered the icon package. So now for inserting font awesome I can only do
r icon::fa("table", colour="red")instead of \textcolor{red}{[}\faTable\textcolor{red}{]} <i class=“fa fa-table” aria-hidden=“true”></i>
#rstats @rstudiotips #knitr ↪
Victor Ordu (@BroVic; 3/1): Was hopping around on r/Rlanguage on @reddit and learnt about knitr::purl(), a function that allows you to convert and .Rmd file into a regular R script, with code chunks coming out as R code and regular text as comments. Amazing! #rstats ↪
Cruz Julián (@Cruz_Julian_; 3/0): @flacatrujillo ggplot, magrittr y knitr. ↪
Jason Mercer (@ecojydrology; 2/0): @HamzaRa15004619 Ah, okay. In that case you can use knitr options and set the dev to svglite. I tend to do that in my setup chunk. ↪
Frederik Elwert (@felwert; 2/0): @latex_ninja @hou2zi0 Thanks! Currently, I’m using RMarkdown, which uses knitr, but with markdown instead of LaTeX. This works fine, with both plots (via ggplot) and tables generated dynamically from code. ↪
Gina Reynolds (@EvaMaeRey; 2/0): @matt_blackwell @dynarski Automated plot building minimal example, https://t.co/YCadtE1Qbu, targets teaching tidyverse and ggplot (uses Xaringan). But will be working on a presentation focused variant (no code printing). Yay! @chrishanretty knitr:::knit_code$get() magic. ↪
LaTeX-Ninja (@latex_ninja; 1/1): @hou2zi0 @felwert 3/3: so when the stats are already final, I think #TikZ would be good. But I assume they still change until the final version - then TikZ might not be great since it’s largely static. Ergo, for dynamically reading changing data and outputting results in #TeXLaTeX, use #knitR. ↪
Chris Marcum (@csmarcum; 1/0): @er13_r @rstatstweet I use it when collaborators want to use it. I still prefer the greater typesetting control I get with Sweave/knitr over rmarkdown. ↪
atusy (@Atsushi776; 1/0): @kilometer00 dev に加え、dev.args にリスト形式で引数も渡せるので、 list(bg = “transparent”) などとするとスライドなどの背景とケンカしなくて便利ですね。プロットの背景を透明にするだけでは、デイバイスの背景の影響受けるので要注意です。 #TokyoR
https://t.co/j2MRLXzMmS ↪
nils reiter (@nilsreiter; 1/0): @felwert @latex_ninja @hou2zi0 knitr also does caching, but you have to enable it. ↪
U2 Love & Logic (@U2LoveandLogic; 0/1): Here are the popular @U2 tracks for AU, NZ and Singapore. (@Spotify is not avail in S Korea) The data is odd…AU, NZ, SG all have the same popularity. The top 10 songs are the same for all 4 countries?
@Maverick @LiveNation @atu2com @U2start.com #U2
#rstats #knitr https://t.co/X2OiEugfGt ↪
U2 Love & Logic (@U2LoveandLogic; 0/1): Based on @Spotify data, the top @U2 tracks cover several albums.
#selectionbias
@Maverick @LiveNation
@atu2com @U2start.com
#AdamClayton #Bono
#LarryMullenJr
#TheEdge #U2
#rstats #kableExtra #knitr https://t.co/c1BMbAf3RG ↪
LaTeX-Ninja (@latex_ninja; 0/1): @hou2zi0 @felwert also I think it wasn’t mentioned in what form to output the stats - as tables or as graphics? with graphics, I think collaborating shouldn’t be a thing since Pandoc will probably keep #TikZ graphics as images anyway (haven’t tried though). If it’s tables, #knitR is better. ↪
Ken Butler (@KenButler12; 0/1): Another blog post on more things I learned today: https://t.co/GlwiD3TwjL #rstats #knitr ↪
xaringan
R-Ladies Melbourne (@RLadiesMelb; 25/11): Here you can find the #xaringan ⚔️ slides from last night amazing speaker @MrsLaviniaG. In only 39 slides we went from the “ancient” to the latest #rstats tools 🔨 to build your 💯% reproducible & shareable #R projects! #rstats #reproducibility https://t.co/sZJqPTFlqi ↪
Alice Sweeting (@alicesweeting; 22/3): Inspired by @jacquietran & the recent @RLadiesMelb talk, I’ve had my first go at creating #xaringan ⚔️ slides (via R Markdown) for next week’s @WCSF_2019 ⚽️ workshop. More content to be added, but (under construction) slides can be found here: https://t.co/K5CNQ2nhOn ↪
Dr Duygu Çandarlı (@duygucandarli; 10/1): I have embraced #xaringan ⚔️ to prepare my presentations and started to use it for my lecture slides. If you use #rstats for your work, it is definitely worth investing your time into it. Here is the demo for new starters: https://t.co/GqRgobrqcB https://t.co/w8JsKWMRQO ↪
Gina Reynolds (@EvaMaeRey; 9/4): Lives here: https://t.co/lD9ytQchKj. Uses “reveal for xaringan” functions under construction : https://t.co/eyr32KIPuI authored with the brilliant @statsgen and @grrrck I’m afraid my recent contributions are messy!! 😬 ↪
Matt Dray (@mattdray; 8/4): 👨🎨📦 New post: use #rstats to package a #xaringan #rmarkdown presentation template with #css styles
📝 https://t.co/xU67XwA9tU
📽️ https://t.co/gdhAt4uPAs
🐙🐈 https://t.co/UJXiCwiZ6h https://t.co/zNy3WW12jG ↪
Emily Riederer (@EmilyRiederer; 4/0): @Dale_Masch Also for xaringan specifically, @grrrck has this amazing package!
https://t.co/fb12SbedzB ↪
Ingo Rohlfing (@ingorohlfing; 0/1): Tips to Reduce the Complexity of Slide Making with #Xaringan https://t.co/lakA5FeSjm by @Yongfu1996 #rstats ↪
yihui.name
Julia Silge (@juliasilge; 70/19): I am always glad when I absorb @xieyihui’s reflections and empathy for his users.
“Instead of blaming the user, try to ask for suggestion on improving the manual.”
https://t.co/ndf0QTLreg ↪
Tiffany Timbers (@TiffanyTimbers; 9/0): Upping my Rmardown xaringan knowledge/skills as I create my talks for #SSC and @SDSSconf, and just discovered there is a live preview of your slides inside @rstudio now!! AMAZING!!!
https://t.co/jdDej7HZpa
#rstats ↪
Chris Engelhardt (@EngelhardtCR; 8/2): Please don’t worry, @xieyihui, I won’t show my son
xaringan::inf_mr()(https://t.co/bsBJOpgEhq) until I think he can use it responsibly 😂. Thanks for thinking of me and my keyboard! P.S. I think he will be thrilled he got a shout-out in your #rstats docs. https://t.co/yHKmb7hQpj ↪
just another dog (@keshavahsek; 3/2): RMarkdown vs. Jupyter
Notebooks vs. Software Engineering
- marketing for RStudio
https://t.co/A1UNcv4xh4 ↪
Yihui Xie (@xieyihui; 3/0): @EngelhardtCR Oh, one of my favorite O Rly? book covers: https://t.co/MYeQsU4ntZ ↪
R Weekly Live (@rweekly_live; 2/3): From RTFM to ITFM (Improve The Fine Manual) @xieyihui #rstats #datascience https://t.co/cXzw3y0tqA ↪
Yohan J. Rodríguez (@hasdid; 1/1): #R #Automated | From RTFM to ITFM (Improve The Fine Manual) https://t.co/RKQJroiN7E ↪