Code Is My Copilot (at #BITSS2019) (@Code_Copilot) header
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Reducing human error in data analysis by helping researchers find others to independently audit research code. See posting guidelines (https://teapawt.net/t.co/hyEE2n69yC).

Stanford, CA
Joined November 2019
Photo by Code Is My Copilot (at #BITSS2019) (@Code_Copilot)
Code Is My Copilot (at #BITSS2019) retweeted
Seeking @Code_Copilot for JudgementAndDecisionMaking experiment wt @giladfeldman, prefer by 25Feb2020. 150lines data prep + 1450 lines analysis (large chunks of it are empty rows). Background needed: R, Rmarkdown. Background useful: prop. tests, rudimentary BayesianAnlysis
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We'll be at #BITSS2019! Come say hi to @_MMathur and @Tom_Hardwicke and grab a free decal.
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A wonderful first example of copiloting by @jpheffne, @giladfeldman, & @PRASAC!
Replying to @Code_Copilot
@Code_Copilot works, and is terrific! Went over what @jpheffne sent @PRASAC after reviewing our manuscript's Rmarkdown, & it's wonderful. Truly. That's what science should be. Open, reproducible, collaborative, positive. Contribute to your community! Thanks @jpheffne!
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And our first intrepid copiloting offer! Thanks, Joey!
Cool concept @Code_Copilot! I’d be happy to help review R code
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Our second copiloting request! Who would like to help with this?
Seeking @Code_Copilot for JudgementAndDecisionMaking experiment wt @giladfeldman , prefer by 10Dec2019. 150lines data prep + 920 lines analysis(a large portion of it is empty rows). Background needed: R, Rmarkdown. Background useful: ind T-tests, rudimentary BayesianAnlysis
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Our inaugural copiloting request! Who can help copilot this simulation study? Someone from #epitwitter?
“Seeking @Code_Copilot for maximum likelihood of a mixture cure model with covariates via simulation, wanted by by 20/11/2019
Have you ever found a critical error in your data analysis code? We all have. One of the best ways to catch errors is through independent third-party auditing. This new account is designed to help; more below. (Please retweet.)
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1.) @Code_Copilot (by @_MMathur, @TomHardwicke, & @BalazsAczel) is a no-frills, beta platform to help you, a researcher in any discipline, to find another researcher (your “copilot”) to carefully read and re-run your data prep and analysis code to help check for errors.
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And that should be @Tom_Hardwicke. If only we'd had a copilot to audit our tweet...
5.) We hope this idea will catch on and survive. This largely depends on your own engagement and sharing. If you support, please consider retweeting, following, posting a request, or offering to copilot.
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6.) Questions? Want more details? See our documentation and FAQ (shorturl.at/mnIP9)!
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