Tidyverse for beginners (BYO data)

Yikes- where did July go? We have Shiny and machine learning and other fun things planned for later in the year, but lets squeeze in a beginners event before August disappears too. The remarkable Dani Navarro (https://twitter.com/djnavarro) is going to run a tidyverse event on Aug 22nd.

Dani is a computational cognitive scientist at UNSW who uses R in her research and teaching. She is the author of "Learning statistics with R", a free online text book that you can access here: https://compcogscisydney.org/learning-statistics-with-r/.

She is the kind of R user who can fill in as a keynote speaker at userR at the last minute and totally ace it. Check out her talk here: https://www.youtube.com/watch?v=xFkEbYk0C0Q.

### Who is this for?

Are you new to this R business and short on time? Would you like to start working with data in R without having to go through the arduous process of learning all the programming details first? Do you have a neat data set you'd like to explore and visualise? This might be the workshop for you!

Or are you an experienced old school R programmer who learned how to do everything in base R? Are you secretly nervous around pipes? Do you sometimees wonder whether the tibble is worth the trouble? Then this might be for you too!

### Cool... what's the plan?

The idea is for everyone to bring a data set of their own, and to work together as a group to explore the data sets using tidyverse. We'll cover:

• The basic mechanics of tidyverse
• Exploring data with `dplyr`: `summarise` variables, `group_by` to split by groups, `filter` the cases you're interested in, `select` variables that matter, `arrange` data into a format you want, using `mutate` to transform variables
• Visualising data with `ggplot2`: histograms, scatter plots, box plots, violin plots, plots with error bars, breaking down plots separately by group, customising your plot to make it preeeettty.

Depending on need (and time!!) we might cover some of the annoying data wrangling jobs like how to use `gather` and `spread` to switch between "wide" and "long" form data with only a modest amount of pain!

The workshop will follow the directions that participants want to go with the data, but is loosely based on the working with data section to Dani's "R for Psychological Science" notes: e.g.

http://compcogscisydney.org/psyr/visualising-data.html

### Awesome! What do I need to bring?

• A laptop with R and RStudio installed (ideally - if you don't already have R on your machine, it's probbably a good idea to show up a little early...)

• A data set saved as a CSV file (ideally - if you have data in Excel or SPSS we can work with that too, but also worth arriving a little early)

• That's it!