ISM tutorial
Material for the workshop at the Institute for Statistical Mathematics in Tokyo (JP), February 29, 2020.
Lecturers: Mark van der Loo and Edwin de Jonge
Time table
| Time slot | Topic |
|---|---|
| 13:30 - 13:45 | Opening |
| 13:45 - 14:45 | Hands-on lecture (1) |
| 14:45 - 15:00 | Break |
| 15:00 - 16:00 | Hands-on lecture (2) |
| 16:00 - 16:15 | Break |
| 16:15 - 17:15 | Hands-on lecture (3) |
| 17:15 - 17:30 | Discussion and closing |
The course form is highly hands-on. Each topic starts with an approximately 10-15 minute session where you run and adapt some R code. Next, we will provide background and details on what you just did. After that there is a more in-depth assignment. Depending on time and topic we will discuss the topic more in-depth after that.
Prerequisites
Bring a laptop
Participants are expected to have a basic knowledge of R/RStudio, explicitly:
- Work with the R command line and R scripts
- Read/write CSV data
- Some basic data manipulations and plots
- We highly recommend working with RStudio projects.
Software needed for the course
- R See https://r-project.org
- (Recommended) Rstudio
Execute the following R code to install the necessary packages.
install.packages(c(
"validate"
, "errorlocate"
, "simputation"
, "rspa"
, "daff"
, "jsonlite"
, "XML"
, "readr"
, "stringr"
, "lumberjack")
, dependencies=TRUE)Course material
For users who have git installed
In RStudio go to File $\to$ New Project... $\to$ Version Control $\to$ Git,
and enter the follwong URL into the Repository URL field:
https://github.com/data-cleaning/ISM2020_tutorial
Or, use your OS's command-line
git clone https://github.com/data-cleaning/ISM2020_tutorial
And then open the ISM2020_tutorial.Rproj file with RStudio.
For users who do not have git installed
At the top of this webpage click Clone or Download and then Download Zip.
Unzip the file and open ISM2020_tutorial.Rproj with RStudio.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.