Introduction to statistics in R
Dates
26-29 October 2020
Where
Due to the COVID-19 outbreak, this course will be held online
This course is organized in collaboration with the University of Hradec Králové in the context of the ERASMUS+ Project.
Course overview
This course will introduce scientists and practitioners interested in applying statistical approaches in their daily routine using R as a working environment. Participants will be introduced into the mysteries of R and R Studio while learning how to perform common statistical analyses. After a short introduction on R and its principles, the focus will be on questions that could be addressed using common statistical analyses, both for descriptive statistics and for statistical inference.
TARGETED AUDIENCE & ASSUMED BACKGROUND
The course is aimed at early-career researchers (PhD students, early postdocs) or any other types of practitioners interested in widening their analytical toolbox. The course is structured in a
way that even an inexperienced and naïve attendee could take advantage of the possibilities offered by the inclusion of statistical analyses using R. There will be a mix of lectures and hands-on
practical exercises using R as a freely available software and online resources.
The course is devoted to beginners with no prior knowledge in statistics, programming, and R language, but with a keen interest in using R as a platform for statistical analyses. All scripts will
be carefully explained to allow all attendees understanding the rationale and usage of the statistical approaches.
LEARNING OUTCOMES
- Understand how to read, interpret and write scripts in R.
- Learn statistical tools to address common questions in research activities.
- Hand-on experience on all the steps.
- Being comfortable with using R when performing both descriptive and inferential statistics.
Program
Monday – Classes from 09:00 to 17:00 - “Introduction to R”
Session 1: Introduction (morning)
In this session I will kick off with a lecture about the rationale of R as a language. We will discuss the reasons for each participant for attending the course, so that we can target parts of
the course on the specific personal needs. I will use this introduction to motivate the four days of the course by introducing the potentials of R. Then, I will explain basic principles and
terminology of R.
Session 2: Introduction (afternoon)
During the afternoon we will go through some of the basic principles of R, including packages, commands, reading and writing files, how to look for help, basics of R philosophy, how to write
scripts, what objects are, etc. We will start obtaining our first outputs in R. The aim is to understand the use, potentials, and rationale of R as a platform for different uses.
Cost overview
Package 1
Course material and refreshments
ONLY 10 seats available!!
430 € (VAT included)
Application deadline is: September 20th, 2020.
Cancellation Policy:
> 30 days before the start date = 30% cancellation fee
< 30 days before the start date= No Refund.
Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.