Block A – Introduction to R

Block A teaches you the basics of programming in R, free statistical software used by many researchers. The block lasts 3 days and is worth 2 ECTS. It is aimed at people with little to no knowledge of programming in R language.


We will introduce basic concepts such as variables and functions, how to use command line, how to write and share scripts and how and where to look for help. Later, we will learn about various data types and data operations, and we will finish with basic exploration and visualisation of datasets.


After finishing this crash course, you will able to load, access, explore and visualize your data. You will also understand basic programming terminology and online help and be able to work on projects in R on your own.


See more information below.

ECTS
2
Level
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Site
Face-to-Face & Online

Lecturers

Lukáš Hejtmánek

CEBEX
Czech Republic

Course details

Schedule


The block is scheduled on days 1–3 of the summer school and consists of 18 hours of lectures (6 each day). Each lecture lasts 60 minutes. Morning lectures start at 9:00 and finish at 12:40. Afternoon lectures start at 14:00 and finish at 17:40. The break after each lecture lasts 30 minutes. All times are in Central European Summer Time (CEST).


Topics


Introduction to R

Basics of programming

- Working with variables and vectors

- Working with data frames
- Loading and saving data

Introduction to visualisations
Basic descriptive statistics and data reporting


ECTS requirements


To obtain 2 ECTS, you need to attend the lectures and take a final exam based on lectures and selected chapters of mandatory literature. The exam will be in the form of an online test and will take place after the end of the program.


Software requirements


Lectures will be held in a computer classroom, so you don't need your own laptop. But if you prefer to use your own laptop, please install R (https://r-project.org) and a free version of R Studio integrated development environment (https://rstudio.com/products/rstudio).


Literature


Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. Sage.

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