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The great thing about #rstats is that there are so many open source learning resources, it is tough to know where to start. Sometimes resources designed by beginners (or people who have just learned the thing you are trying to learn) are best. 1/n
Why? People who have only just learned something don’t yet suffer from the curse of knowledge. They still know what it feels like to be totally overwhelmed and make fewer assumptions about what you might already know. 2/n

Last year @djnavarro @williamslisaphd and I put together a set of online modules for #rstats beginners called #RYouWithMe. It starts with Basic Basics. This module gives you an tour of RStudio, shows you how to find your way around and get data into R. tinyurl.com/ruwm-basics 3/n
Real data are never clean. With this in mind, the second module walks through all kinds of useful wrangling functions. You will learn how to rename, select and filter, and make new variables using mutate functions. Even gather and spread are in there!
tinyurl.com/ruwm-clean 4/n
VizW(h)iz is our ggplot module. The naming of this one was controversial. Whether you want to be a Viz Wizard or a Viz Whiz, this one will have you plotting both raw data and data summaries in no time.
tinyurl.com/ruwm-viz 5/n
And then MarkyMark, our RMarkdown module. Learn how to embed notes and code and output into pretty documents that you can share with your collaborators. tinyurl.com/ruwm-marky 6/n
Anyway enough self promotion… my go to #rstats ed resource is the new Rstudio Education site education.rstudio.com It’s full of great tips for learners and teachers, beginners and beyond.
Thanks to @apreshill for leading the charge on the RSutdio Ed site - like everything she touches, it is awesome.

What are you favourite resources for beginners? 8/8
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We are R-Ladies
@WeAreRLadies
So you want to learn #rstats? I’ll tell you about my favourite learning resources in a minute, but first… some tips and tricks. 1/n
Tip 1: Find a reason. It is tough to get motivated to learn something new when your old workflow, while inefficient and not reproducible, gets the job done. If you try to learn #rstats in service of a real project, you are more likely to persevere. 2/n
Tip 2: Make it fun with side projects. Try sentiment analysis on Jane Austen novels juliasilge.com/blog/you-must-… Or learn regular exp by on analyzing your bank trans data r-bloggers.com/analyse-your-b…. Check out #tidytuesday for vis practice datasets 3/n
Read 7 tweets
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We are R-Ladies
@WeAreRLadies
So, I love the amazing variety of colour palettes we have available in R! 🎨 🖌️

I'll share some of my favorites! #RLadies #dataviz

First up: Wes Anderson by @_inundata

🔗: github.com/karthik/wesand…
@_inundata Next: FISH 🐟🐠🍥

I discovered this one by chance today, and can't wait to try it out!

#fishualize by @NinaSchiett 🌊

🔗: nschiett.github.io/fishualize/ind…
@_inundata @NinaSchiett I 💜 Studio Ghibli, so I was delighted to discover {ghibli} by @ewen_!

"Make ggplot cute again!"

🔗: ewenme.github.io/ghibli/index.h…
Read 7 tweets
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We are R-Ladies
@WeAreRLadies
Morning! So here's a few more of my tricks for emulating the amazing coding I've seen from people using R and RStudio!
For example did you know you can hit Tab between "" & it shows you the directories + files in your current workspace?
Do you know the name of the file you're looking for but no idea where in the folder structure it is? No problem, type a few chars of your file name btw "" and hit Tab -> the chars you typed are replaced with the path to the file you're looking for.
Ctrl + . -> Opens a popup where you can search for functions in your script or Files in your folder.
Ctrl + Shift + F -> opens a "Find in Files" popup - you can look for a particular ggplot etc.
Read 6 tweets

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Dr. Sam Tyner
@sctyner
THREAD/RANT: Just watched a great #rstats webinar. Presenter is an author of many📦s. At the end, the host suggested that the (100s of) attendees go file issues on the 📦s Github repos & comment on the presenter's blog posts to ask Qs they didn't get answered in the webinar. 1/?
This is absolutely NOT how you get answers to #rstats questions. Not only will you waste the package author's time, you will waste your own time. So, here are some tips on how to get help in #rstats. TL;DR: filing Github issues, tweeting/emailing pkg author are LAST RESORTS. 2/?
(These tips are ordered based on my experience to get you an answer as fast as possible.)

#1: Read the relevant documentation. #rstats Many packages have websites & vignettes. Consult those, too.
Read 18 tweets
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Mine CetinkayaRundel
@minebocek
I'm deeply disappointed in @DataCamp leadership, and cannot, in good conscience, recommend it to my students. Questionable ethics at tech companies are sadly common, but it hits especially close to home when it happens at an education company that I worked with & promoted. (1/5)
This means:
1. My @Coursera course no longer offers option for #rstats labs via @DataCamp.This years-long collaboration represents hard work by @DukeLearning+DataCamp staff to provide browser-based R access for thousands of learners,fruits of this effort will now go unused(2/5)
2. I'm working w/ @jo_hardin47+@BaumerBen+Andrew Bray to make our course content available elsewhere.Meanwhile, don’t take these courses on DataCamp. As @noamross put it so well “We can't change behavior without incentives, and for companies those incentives are financial."(3/5)
Read 5 tweets
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Kara Woo
@kara_woo
This story is out in the open now, so I guess I might as well say that the unnamed employee in the DataCamp post was me.
I haven’t talked publicly about this experience before. That’s been a complicated decision, but for me it’s been the best way to try to move on with my life.
I didn’t know they were going to publish this post, but now that it's out I appreciate everyone who has responded to say that what happened is not okay.
Read 8 tweets
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Nick Brown
@sTeamTraen
I wonder how many 1000s of hours of some of the brightest minds in science are being wasted creating cool #rstats packages that only 10 people will ever use to shave 5 minutes off the time taken to solve a problem and which will stop working with dependency issues 2 years later.
I don't follow all that many people and yet every other day there's a new cool package in my timeline that only a few people will ever have time to learn. But someone will use it, and in a couple of years time someone else will want to run their code, and it will choke.
The standard answer to this seems to be "But it's open source, so you can fix the package when it breaks". Great. So now anyone who wants to use code written by A has to be able to fix B's package, of arbitrary complexity.
Read 4 tweets
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Jesse Mostipak
@kierisi
over in Slack-land a colleague asked for resources on learning #rstats, with a particular emphasis on resources aimed at beginners.

🌟SO🌟

here is a thread of my personal favorites:
Modern Dive is 🙌🙌🙌 and probably one of the best "I NEED TO LEARN DATA SCIENCE IN R RIGHT MEOW" resources out there because it gets you up, running, and through the whole DS cycle pretty quickly.

moderndive.com
R for Data Science is perfect for leveling up your R skills in an applied context, and gives you plenty of practice exploring the tidyverse 🌌

r4ds.had.co.nz
Read 7 tweets
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Dan Quintana
@dsquintana
I’ve peer reviewed A LOT of meta-analyses over the past few years. While I’ve noticed that the overall quality of meta-analyses are improving, many that I review suffer from the same issues. Here’s a thread listing the most common problems and how to avoid them
#1 Not using PRISMA reporting guidelines (or stating that PRISMA guidelines were followed, but not *actually* following them).

prisma-statement.org/Default.aspx
These guidelines provide a framework for the transparent reporting of meta-analysis, which can help the reader assess the strengths/weaknesses of a meta-analysis.
Read 32 tweets

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