Marc J. Lajeunesse
@LajeunesseLab
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Log driver of meta-analysis | R dev #metagear #juicr #switchboard & #OpenMEE | Ecol&Evol Prof @USouthFlorida | open courses https://t.co/pb8rR0KpQQ
Tampa, FL
Joined April 2016
Hi all, I started my winter session meta-analysis course on YouTube! Join me as I muddle my way through an entire synthesis project. It’s meant as an entry to research synthesis, so expect some lighthearted fun with new posts nearly daily :-)
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@USouthFlorida has been planting many ornamental cycads 🌿 on campus and the result has been this wonderful explosion of 10,000s coontie hairstreaks this week!! ❤️🦋
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RT @complete__pi: @smartereveryday Juicr is relatively easy to get the hang of. If using Mac, closing X11 really upsets R Studio, so make s…
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@BellaLGonzalez @OAcevedoCharry Oh wow, was too busy to have a closer inspection at the time, but way cool!
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RT @itchyshin: Very proud of @coraliewilliams 's first #PhD paper @MethodsEcolEvol ! Improving reporting of statistical simulation studies…
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RT @LajeunesseLab: Meta-analysis is formal & explicit -- don’t get fooled by incomplete applications for synthesizing research But how do…
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RT @Ed_pheasant: A couple of months ago a paper in @science used a "meta-analysis" to summarise the evidence on the success of conservatio…
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RT @itchyshin: My first day @CityofEdmonton @UAlberta - here to create a Centre for Open Science & Synthesis in #Ecology & #Evolution. Look…
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RT @ErreEspanol: 🔥El Paquete #R de la semana: #metagear ¡Descubre el paquete metagear para R! Facilita revisiones…
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RT @Ed_pheasant: Engaged in an ecological meta-analysis? Employing Hedges g as your effect size measure? Explore my latest tool to gauge th…
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RT @MatthewBJane: @JeffreyDahlke @bmwiernik @tobi_saueressig @BartosFra A couple masterpieces from @LajeunesseLab : {juicr} An R package t…
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RT @MatthewBJane: Here is the ultimate thread of online resources for meta-analysis. Comment other resources and I will add them to this th…
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Using the juicr package for R: maybe around R^2 = 0.0066 🍊 check out the YouTube vignette here: #rstats #dataviz
I've noticed it's becoming increasingly common in genomics to report results of regressions with ridiculously low correlation as "significant" based on a tiny p-value (for the hypothesis that the slope = 0). Can you guess R^2, the p-value, and where the data below was published?
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