This course is open for all geographers working at the department and
interested in learning how to work with R. In this introductory course,
some R basics will be taught on a step-by-step basis. Bring your own
laptop, there will be exercises. No prior knowledge is needed.
Proposed date: 28th of March
Proposed schedule
- 9:00 to 10:00 - Basic R (1,2,3)
- 10:00 to 10:15 - Coffee Break
- 10:15 to 12:00 - Importing Data and the tidyverse (4,5)
- 12:00 to 12:45 - Lunch Break
- 12:45 to 14:00 - Data.Table and speeding up your code (6,7)
- 14:00 to 15:00 - Sf, Shiny and Leaflet (8)
- 15:00 to 15:15 - Coffee Break
- 15:15 to 16:00 - Test your data and Q&A
Proposed place: S8 – PC-lokaal 0.1 Victor Van Straelen
After entering the S8 building take the first door on the right, after
the elevators. Go left, go through the double doors and follow the long
corridor. The mentioned room can be found on the left.
Course registration: https://goo.gl/forms/LbEs9fIwxuMdGXtI2
Teachers: Filipe Marques Teixeira, Jeffrey Verbeurgt, Tom Storme
Please bring your own laptop, and install R and RStudio prior to the session. Datasets will be available here beforehand. Participants are expected to arrange their own food/drinks. There are vending machines along with a student restaurant nearby. We’ll upload a schedule as soon as possible. You can download R and RStudio here https://www.rstudio.com/products/rstudio/download/#download. After downloading and installing R, please install the packages below.
install.packages(c("data.table", "tidyverse", "shiny", "leaflet", "lubridate", "igraph", "tidyr", "sf", "sp", "rgdal"))- Getting Started
- Why use R?
- Why use Rstudio
- Basic R syntax
- Write your first script
- First programming with R
- R is vector-based (!)
- R functions
- R packages
- Basic Arithmetic, Indexing, Comparing values
- Tips and tricks (Code structure and conventions)
- More Programming with R
- Naming values in a vector
- Working with text values
- R objects (factors, matrix, data frame, list, tibble)
- If-else, for-loops and switch()
- One big apply-family
- Importing and writting data
- Load flat files using base R functions
- readr & data.table (fread, fwrite)
- Import and manipulate Excel-files
- RDS and RDA
- Tidyverse for proper data science
- dplyr and piping
- lubridate (dates), stringr (strings)
- tidyr
- ggplot2
- data.table
- DT[i, j, by]
- Operations in i and operations in j
- Select, subset, group, order, create
- .N and other special operators
- Increase Speed
- using dplyr and data.table together
- why you shouldn’t use SQL
- Showing off with R
- Reports with R markdown
- leaflet and sf (geocomputation package)
- Interactive visuals with Shiny
- Introduction to network analysis with igraph
https://www.dropbox.com/sh/0l8m6mkor9wlmk4/AADqdC7pu66TlARCij0iUSkRa?dl=0