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24 results for “hadleywickham”
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@hadleywickham Background: In companion w %dofuture% (https://mastodon.social/@henrikbengtsson/109741654631611943), I'd like to introduce:
z <- future_foreach2(X=1:3, Y=3:1, FUN=function(x, y) {
sqrt(x/y)
})to be the same as:
z <- foreach(X=1:3, Y=3:1) %dofuture% {
sqrt(x/y)
}In the #futureverse, prefix 'future_' indicates a duality, e.g. future_lapply() for lapply() & future_map() for purrr::map(). So, we cannot call it future_foreach(), because that would incorrectly suggest it is a duality of foreach()
2/
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I mostly followed the 2nd edition of "R Packages" by @hadleywickham @jennybryan with a few minor tweaks to account for the differences between GitHub and Bitbucket/Jira
https://r-pkgs.org/release.html
I highly recommend this book for anyone who is writing or maintaining R code! #rstats #statsodon
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I'm not sure where the #user2025 discussions are happening but I'm curious about one slide in particular from @hadleywickham's talk
https://www.youtube.com/live/ctc2kx3LxG8
why the addition of 0 for each term of the multiplication? Is it to have NA values fail early? I was hoping it would be explained but not that I saw
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Want to learn about {purrr} & the updates in the 1.0.0 release?
In this video @hadleywickham introduces {purrr} & shares some of his favorite highlights of this release (hint: progress bars, better error messages, some new map & list functions, & more).
Whether you’re a “cat”-egorical beginner or a seasoned functional programming “purr”-fessional, you can pounce on this opportunity to check out what’s new in {purrr}.
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Episode 215 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/215
🤖 AI Newsletter @simonpcouch @sara-altman.bsky.social
🎙️ The Test Set Podcast @mchow.com @hadleywickham @wesmckinney.com
🤔 Haskell for data science @jonocarrollLooking for a new way of giving this holiday season? How about a fun boost with a modern podcast app as a virtual stocking stuffer! Learn more about these apps at https://newpodcastapps.com
h/t @mike_thomas & @parmsam 🙏
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Hello #RStats ! I'm facilitating a new free @DSLC Advanced R adv-r.hadley.nz cohort soon! It's been 5+ years since I read this excellent book by @hadleywickham , so I'm giving it a re-read. Let's learn to embrace {{ tidy evaluation }}, purrr::reduce() repetition, and count S/R #OOP systems!
Join the https://DSLC.io Slack, then navigate to the #bookclub-advr channel!
BTW, I plan to cover {{ and #S7 in the club, even though they didn't make it into the book!
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@Mehrad @krz Methinks, first time #RStudio was available was 2011. @hadleywickham published #tourrGui in 2012 (http://www.jstatsoft.org/v49/i06/).
The first release of #RWKard was end of 2002 (https://www.jstatsoft.org/index.php/jss/article/view/v049i09/613).
Here is a collection about #rstats GUI/IDE from 2012. https://www.jstatsoft.org/issue/view/v049
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#rstats #lavaan structural equation modeling -- a postdoc developer position at University of Amsterdam https://werkenbij.uva.nl/en/vacancies/researcher-in-methods-and-statistics-specializing-in-programming-and-structural-equation-modeling-netherlands-15033. I am familiar with the package although not with all of the internal class structures and stuff. I would be comfortable working on this after the two book clubs on @hadleywickham's Advanced R and R Packages through the @DSLC community led by @jonthegeek ... but you also need to know the freaking matrix calculus to follow Satorra's asymptotic theory.
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Really enjoyed #useR2024. I was lovely to see so many friendly faces and to re-connect with the world-wide R community 😀
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I love Hadley Wickham and his amazing work, I really do.
But I hate tibbles.
I know they can probably do stuff (I think they're supposed to do some of the data.table() stuff?)
But tibbles broke data.frame indexing, and I always spend hours debugging shit to find out it's because tibbles broke indexing.
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📜 Tidy Data [2014]
By: Hadley Wickham
Hadley Wickham's paper, "Tidy Data," published in September 2014, provides foundational principles for organizing and cleaning data, which has had considerable influence in the field of data science.
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This is cool!
R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).
Peer-led sessions turned solo intent into shared progress.
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This is cool!
R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).
Peer-led sessions turned solo intent into shared progress.
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This is cool!
R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).
Peer-led sessions turned solo intent into shared progress.
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This is cool!
R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).
Peer-led sessions turned solo intent into shared progress.
-
This is cool!
R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).
Peer-led sessions turned solo intent into shared progress.
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When the day after your #Rpackage goes live on CRAN, with no promotion whatsoever, Hadley Wickham himself files a GitHub issue with a suggestion 🤓. https://github.com/e-kotov/rJavaEnv
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@lwpembleton it was gradual for me. Grad school used it for stats classes and my advisor suggested to rewrite a standalone population genetics program in R. He then suggested to make it into a package and sent me to one of Hadley Wickham’s trainings (pre-RStudio). I then found out about #knitr and stated making websites in R and was hooked.
