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Introduction to R

People who were on the waiting list (till 22 February 2024) will be given priority.

R (https://www.r-project.org/) is a programming language and software environment for carrying out computations, manipulating and analyzing data, and creating various types of plots and graphics. R has become the 'lingua franca of statistics' and the software of choice for analyzing data in various disciplines.

Moreover, R is free, open-source, and runs on various platforms (Windows, MacOS, Linux, etc.). However, for many researchers, getting up and running with R remains a hurdle due to the command-driven nature of the software. The purpose of this course is to lay the necessary foundation for becoming a proficient R user.

 

Fast facts

  • Code: 0604
  • Instructor Dr. Wolfgang Viechtbauer
  • Intended for researchers, Master and PhD level students, data analysts/scientist, and essentially anybody interested in learning how to work with R.
  • Intended for PhD candidates (Promovendi) of FHML, M4I and MERLN
  • 2 ECTS
  • Max. number of participants: 50
  • Apply via: phd-courses.mumc.maastrichtuniversity.nl
Interested in this course? Apply now!

Instructor

Dr. Wolfgang Viechtbauer
Department of Psychiatry and Neuropsychology
Phone: +31 (43) 388-4170
Email: wolfgang.viechtbauer@maastrichtuniversity.nl
Website: http://www.wvbauer.com

Prerequisites

Familiarity with basic statistical concepts and methods as used in the health, social, and natural sciences is helpful when following the course.

Course participants need to have the current version of R installed (which can be downloaded from https://cran.r- project.org). Also, while not necessary, installing RStudio (an integrated development environment for R) is highly recommended (which can be downloaded from https://posit.co/download/rstudio-desktop/).

Contents

  • history of R
  • basic data structures
  • data import/export
  • data inspection
  • data manipulation
  • graphing data
  • t-tests and analysis of (co)variance (*)
  • linear regression (*)
  • analyzing categorical data / logistic regression (*)
  • survival analysis and Cox models (*)
  • mixed-effects models (*)
  • add-on packages
  • basic programming structures
  • writing documents with Rmarkdown

(*) Emphasis here is more on the general syntax as used in R and less on the statistical details of the various procedures.

Duration

Four full days (starting at 9:00 and ending around 17:00, with a lunch break around 12:00 and coffee/tea breaks as needed)

Method

Interactive hands-on lectures.

Literature

There are no required readings but the following book is a popular reference:
Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage

Course fees

PhD candidates (Promovendi) of FHML, M4I and MERLN: no fee

These courses are free of charge in case you are employed or registered as FHML PhD candidate. 
Others: €500,00
PhD candidates are given preference. 

 

Course dates

Dates Time Location
05-11-2024 9.00-17.00 hrs.  Online
08-11-2024 9.00-17.00 hrs.  Online
12-11-2024 9.00-17.00 hrs.  Online
15-11-2024 9.00-17.00 hrs.  Online

Information

PhD secretary
Available Monday until Thursday: 9 am – 5 pm
Friday morning: 9 am – 1 pm

 +31 43 388 16 56
 Visitors address: Fac.Bur. FHML, P.Debeyelaan 15/ Dr. Van Kleeftoren, 2N2.004
 aioonderwijs@maastrichtuniversity.nl