Clawed Z. Eagle @_TylerSanders
AU ‘19 / fan of politics, sports, transportation & urban planning, and data science #rstats Washington, DC Joined April 2016-
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Oh hey that’s me!
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Clawed Z. Eagle retweeted
Have an election event coming up that can’t fail? 🚀⏱🗳 Learn how #AWS Countdown Premium helps organizations like @redoakstrategic optimize their cloud infrastructure and get rapid support for their business-critical events. @AWSSupport 👉 go.aws/4dhi15m
Clawed Z. Eagle retweeted
fwiw, on the data front the Iowa GOP caucus was one of the best prepared elections I have worked on. They released live precinct results, published a list of final precinct names a week (!) in advance and ran daily tests of their results distribution system.
Clawed Z. Eagle retweeted
We’re beta launching #MetroPulse (previously MetroMeter), an interactive web tool that gives real-time customer info + system performance data. #MetroPulse demonstrates our commitment to improving customer experience & transparency. Explore it now: wmata.com/initiatives/Op… #wmata
Clawed Z. Eagle retweeted
Pleased to announce the kickstart of seed round with $1M in non-dilutive funds from @NSF to accelerate development of our #blockchain #HealthTech solution for #PriorAuth. Let's #FixPriorAuth and support better #healthcare. epidaurus.health/epidaurus-heal…
Clawed Z. Eagle retweeted
Purdue is ranked #1 in effective height on Kenpom. Fairleigh Dickinson is ranked #363 out of 363. Literal David v Goliath (And FDU currently leads)
Clawed Z. Eagle retweeted
Hey #rstats users -- any advice on how to create a variance analysis model like PROC VARCOMP in SAS (Equation 1 in this link: ncbi.nlm.nih.gov/pmc/articles/P…) in R? I think it's something like a 3-way mixed model w/random effects but not sure 😬@rstatstweet @rstats4ds @rstats_tweets
@VictorP_44 Sci-fi…what ridiculous auto correct. Thanks Elon
@VictorP_44 Seriously, as a true friend I never read or like any of these. P.S. seems like sci-do to me 🤷♂️
@colin_fraser Good Q I’ve only ever tried it with Magrittr pipe so possibly another limitation vs your fun
@colin_fraser do_if() is a great idea, a bit sloppy but I’ve found myself using the same pattern a “conditional pipe” a lot. It works the same way with {if(logical condition) function else .} %>% It does block the . usage but ends up making my code more compact/flexible. do_if() looks cleaner
@hlynur @rstats4ds I believe the newest version can handle dplyr::glimpse() if you just need a quick view though I know that is a different output than head(10)
Clawed Z. Eagle retweeted
50.68! SYDNEY MCLAUGHLIN SETS A NEW WORLD RECORD IN THE 400M HURDLES 🙌 (via @NBCOlympics)
Clawed Z. Eagle retweeted
Have been stumped on this one: any #RStats users know a ~relatively~ easy way to place text side-by-side a ggplot figure when rendering an rmd to pdf? #tidyverse #dplyr #rstudio Would want the output to look similar to this:
Clawed Z. Eagle retweeted
Rooting for your friends to succeed >>>
@ChampMath That’s really thoughtful stuff-thank you for sharing!
@drdavidtang @rstats4ds If your data and use case allow you could consider pivot_longer([selected columns]), group by the “names_to” column and then summarizing on the “values_to” column which would output your grouped summaries in one go
Clawed Z. Eagle retweeted
46 years ago, on this date in 1976, @wmata Metrorail service began operating
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