Awesome

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.