Schedule
Dates and time
Each day, the workshop will be a mixture of lectures and practicals from:
- 09:00 - 09:15 Virtual welcome coffee
- 09:15 - 12:45 Course work with a coffee break
- 12:45 - 13:30 Lunch breaks
- 13:30 - 17:00 Course work with a coffee break
Please join us for the welcome coffee to test your connection, R set-up and to pose questions.
Preliminary program
Date | Time | Session | Teacher | Notes |
2021-10-11 | 09:15 | Introduction to R | VC | Refresher |
10:45 | Datasaurus practical | AG | Guided tutorial | |
11:30 | Coffee break | |||
11:45 | Tidy data w/ exercise | RK | Interactive tutorial | |
13:30 | Import and project setup | VC | vroom, readxl | |
14:35 | String manipulation | RK | stringr, janitor | |
16:00 | RK | Practical | ||
2021-10-12 | 09:15 | Review of practicals | RK | |
09:35 | Data transformation I | MZ | dplyr, tidyr | |
10:35 | Data transformation II | MZ | dplyr, joins | |
11:00 | MZ | Practical | ||
13:30 | Visualization | AG | ggplot | |
15:00 | AG | Practical | ||
2021-10-15 | 09:15 | Review of practicals | AG | |
09:35 | Functional programming | AG | purrr | |
10:30 | Coffee break | |||
10:45 | RMarkdown | VC | knitr, rmarkdown | |
11:30 | Tidy models | AG | broom, interactive | |
13:30 | Pros/Cons tidyverse | AG | ||
14:15 | Advanced Programming | AG | tidyeval | |
15:00 | Coffee break | |||
15:15 | Concluding practical | All | Graded | |
2021-10-16 | 09:15 | Review of practical | ||
09:45 | Reprocible workflows | |||
10:45 | Bring Your Own Data | All |
- Day 1 will review the basics of
R, loading data via thevroompackage and basic cleaning of text using regular expressions. - Day 2 will introduce tidying and organising data via the
tidyranddplyrpackages as well asggplot2for visualisation. - Day 3 will look at functional programming tools using the
purrrpackage, which greatly simplifies repeating operations. RMarkdown documents enable reproducible and automated reporting. Many statistical packages have complicated and idiosyncratic data structures. Thebroompackage helps to convert them to consistent data structures. We also take a look at using thetidyversefunctions in your own development code. - Participants are encouraged to bring their own data for analysis, convert existing code to tidyverse or perform a project on Day 4.