MIDFIELD Workshops
MIDFIELD Workshops
Facilitators
Publications
Licenses
Acknowledgement
1
About the MIDFIELD workshops
1.1
What is midfieldr?
1.2
Why R?
1.3
Why R graphics?
2
MIDFIELD Institute 2019
2.1
Description
2.2
Before you arrive
2.3
Sunday agenda
2.4
Monday agenda
2.5
Tuesday agenda
3
Getting started with R
3.1
Install R and RStudio
3.2
Install an R package
3.3
Install midfielddata and midfieldr
3.3.1
Install midfielddata
3.3.2
Install midfieldr
3.3.3
Troubleshooting
3.4
Create an R project
3.5
Create directories
4
Pre-Institute Workshop
5
R basics
5.1
Prerequisites
5.2
Style guide
5.3
Everything in R has a name
5.4
Everything in R is an object
5.5
Do things in R using functions
5.6
R functions come in packages
5.7
R objects have class
5.8
R objects have structure
5.9
R does what you tell it
5.10
Pipe operator
5.11
Keyboard shortcuts
6
Graph basics
6.1
Prerequisites
6.2
Tidy data
6.3
Anatomy of a graph
6.4
Layer: smooth fit
6.5
Layer: log scale
6.6
Mapping aesthetics
6.7
Setting properties
6.8
Layer: facets
6.9
Ordering the panels
6.10
Beyond the basics
6.11
Resize and write to file
7
Data basics
7.1
Prerequisites
7.2
Data sets in R
7.3
Data structure
7.4
Example: Create a 2018 price index
7.5
Example: Normalized housing costs
7.6
Example: Real US housing costs
7.7
Summary of functions introduced
8
MIDFIELD Institute Day 1
8.1
Introductions
8.2
Guided practice
8.2.1
Initialize a script
8.2.2
Getting started with midfieldr
8.2.3
Next steps
8.3
Metaphors and metrics
8.4
Defining your questions
8.5
Self-directed practice
9
MIDFIELD Institute Day 2
9.1
Data visualization
9.2
Explore data
9.3
Self-directed work
9.4
Poster
9.5
Conclusion
10
After the workshop
References
Published with bookdown
9
MIDFIELD Institute Day 2
Agenda [
link
]
9.1
Data visualization
Elements of effective graphs [
slides
]
Expanding your graphical repertoire [
slides
]
9.2
Explore data
Finding and presenting stories in the data [
slides
]
9.3
Self-directed work
9.4
Poster
9.5
Conclusion