Thread by @rfortherest, In my Going Deeper with R course (https://rforthe.rest/deeper ) I post links to [...]

In my Going Deeper with R course ( https://rforthe.rest/deeper )">https://rforthe.rest/deeper&qu... I post links to resources to help people learn more on topics. Here are some in the data wrangling and analysis section. #rstats

Going Deeper with R - R for the Rest of Us

Current Status Not Enrolled Price Closed Get Started This course is currently closed Course Content Expand All Welcome Advanced Data Wrangling and Analysis 13 Lessons Expand Topic Content 0% Complete...

https://rforthe.rest/deeper

If you want to learn about tidy data, the vignette on that topic is the place to go. https://tidyr.tidyverse.org/articles/tidy-data.html">https://tidyr.tidyverse.org/articles/...

Tidy data

A tidy dataset has variables in columns, observations in rows, and one value in each cell. This vignette introduces the theory of "tidy data" and shows you how it saves you time during data analysis.

https://tidyr.tidyverse.org/articles/tidy-data.html

Learning to use the newish pivot_longer() and pivot_longer() functions to reshape your data? Check out the pivoting vignette. https://tidyr.tidyverse.org/articles/pivot.html">https://tidyr.tidyverse.org/articles/...

Pivoting

Learn how use the new `pivot_longer()` and `pivot_wider()` functions which change the representation of a dataset without changing the data it contains.

https://tidyr.tidyverse.org/articles/pivot.html

There& #39;s also a nice article by @ucfagls here about learning to use the pivot_ functions to tidy your data. https://fromthebottomoftheheap.net/2019/10/25/pivoting-tidily/">https://fromthebottomoftheheap.net/2019/10/2...

Pivoting tidily

One of the fun bits of my job is that I have actual time dedicated to helping colleagues and grad students with statistical or computational problems. Recently I’ve been helping one of our Lab Ins...

https://fromthebottomoftheheap.net/2019/10/25/pivoting-tidily/

This article includes animations of pivoting made by @grrrck and @datandme which are really helpful!

Also check out the RStudio Cloud primer on tidying data, which even has some exercises to help you learn more.

https://rstudio.cloud/learn/primers/4.1">https://rstudio.cloud/learn/pri...

There& #39;s also a nice article by @ucfagls here about learning to use the pivot_ functions to tidy your data. https://fromthebottomoftheheap.net/2019/10/25/pivoting-tidily/">https://fromthebottomoftheheap.net/2019/10/2...

Pivoting tidily

One of the fun bits of my job is that I have actual time dedicated to helping colleagues and grad students with statistical or computational problems. Recently I’ve been helping one of our Lab Ins...

https://fromthebottomoftheheap.net/2019/10/25/pivoting-tidily/

case_when() helps you to create new variables depending on conditions in other variables. Think: make the fruit variable "Yes" if name_of_food is strawberry or apple.

@hrbrmstr has a nice article giving an overview of the benefits of case_when() https://rud.is/b/2017/03/10/making-a-case-for-case_when/">https://rud.is/b/2017/03...

Making a Case for case_when

This is a brief (and likely obvious, for some folks) post on the dplyr::case_when() function. Part of my work-work is dealing with data from internet scans. When we’re performing a deeper ins…

https://rud.is/b/2017/03/10/making-a-case-for-case_when/

If you prefer video, @sharon000 has a nice video overview of case_when() https://www.youtube.com/watch?v=amiW9H-oOS4">https://www.youtube.com/watch...

I pretty much only ever use case_when(). For some reason, it just works better for my mind than anything else.

Apparently, I& #39;m not alone, as this post from @mattdray shows. https://lapsedgeographer.london/2020-04/case_when/">https://lapsedgeographer.london/2020-04/c...

When's the case for case_when() ? :: The Lapsed Geographer

Last week I was taking some colleagues through the code for my COVID19 PDF scraping and afterwards one sent me a message asking about a chunk of code that used the dplyr::case_when() function. In...

https://lapsedgeographer.london/2020-04/case_when/

When you do anything with group_by() you can& #39;t forget to ungroup() afterwards.

Handy picture from @allison_horst to help us all remember!

Learning to write your own functions can improve your efficiency. I wrote a blog post last year to help folks get started. https://rfortherestofus.com/2019/10/how-to-make-functions-in-r/">https://rfortherestofus.com/2019/10/h...

How to Make Functions in R

R is a functional programming language. Most of the time, you use other people's functions. But, as you become a more experienced R user, you may want to start making your own functions. For most...

https://rfortherestofus.com/2019/10/how-to-make-functions-in-r/

Want to go deeper on making your own functions? Check out Chapter 19 of R for Data Science. https://r4ds.had.co.nz/functions.html ">https://r4ds.had.co.nz/functions...

19 Functions | R for Data Science

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you...

https://r4ds.had.co.nz/functions.html

Stat545 also has a nice section on creating functions. https://stat545.com/functions-part1.html">https://stat545.com/functions...

Chapter 18 Write your own R functions, part 1 | STAT 545

Chapter 18 Write your own R functions, part 1 | STAT 545: Data wrangling, exploration, and analysis with R.

https://stat545.com/functions-part1.html

This lesson from @kellybodwin will also help you write better functions.

https://cal-poly-advanced-r.github.io/STAT-431/Canvas_Pages/Week_4-Packages/Writing_Functions.html">https://cal-poly-advanced-r.github.io/STAT-431/...

When you& #39;re learning about merging data, the best place for visual learners to go is the {tidyexplain} package by @grrrck.

With animations like this, it makes it easy to make sense of the various joins in dplyr.

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