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Dr. Regina Baucom
For those who would like to learn R/RStudio or just have refresher tutorials handy: here is a compilation of links, with some field-specific guides (crowdsourced from twitter).
Guides: learning the basics and data analysis R for Data Science-Hadley Wickham R tips pages-Dolph Schluter MarinStatsLectures-videos by Mike Marin Swirl-Interactive Data analysis in R Moderndive-C...
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Guillaume Dury 20. stu
Odgovor korisniku/ci @gbaucom
I don't know if you're looking for more guides, but the Quebec Center for Biodiversity Science (QCBS) has a really good one: (in French and English)
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Dr. Regina Baucom 20. stu
Odgovor korisniku/ci @GJDury
Cool, thanks!
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yaniv brandvain 20. stu
Odgovor korisniku/ci @gbaucom @TroyNRowan
Hi ! I have finished slides to accompany whitlock and schluter - the analysis of biological data [released with new edition]. These are deliberately not R slides [BUT code creeps in] I'm now working on accompanying tidyverse slides for my course. Suggestions / requests welecom
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yaniv brandvain 20. stu
Odgovor korisniku/ci @gbaucom @TroyNRowan
and by that i mean, what should we include... I'm coming to some conflicting thoughts: 1. Its hard to learn R without context / motivation.. so R in stats course good 2. Learning to code while learning to stats = cognitive load, so R + stats course bad
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Durrell Malik Washington Sr. 23. stu
Odgovor korisniku/ci @gbaucom @Marilyn_Allen1
Thank you
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KatrineK 20. stu
Odgovor korisniku/ci @gbaucom @vexedmuddler
This is great, thank you!
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Dr. Kayleigh O'Keeffe 20. stu
Odgovor korisniku/ci @gbaucom @NYCuratrix
Thank you so much for putting this together!
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Blessing Adejoh 20. stu
Odgovor korisniku/ci @gbaucom @amybpedersen
Thank you
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Kaitlin Fogg 20. stu
Odgovor korisniku/ci @gbaucom @PracheeAC
Thanks! Bookmarked! 📑
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