• Startdatum:
  • 4 juni 2019
  • Cursusduur:
  • 4 dagen
  • Werkzaam als:
  • PhD, Student

R is an open-source, free environment for statistical computing and graphics. It provides a large repository of statistical analysis methods, both classic and new. However, R has a steep learning curve, due partly to its using a command-line type of user interface, rather than the usual pull-down menus. This 4-day course aims at helping researchers climb this curve, enabling them to perform basic data analysis and graphic displays at the end of the course, as well as giving a platform from which they can deepen their R knowledge later on if necessary.

Goals & Topics
After the course you will be able to:

  • understand and write simple R programs
  • use R to perform simple statistical analyses of your own data tables
  • generate analysis reports  from your own data in html or pdf formats


We will cover the following topics:

  • R expressions and formula objects
  • R data objects (vectors (arrays), data frames (tables), lists, matrices) creation and usage
  • R functions for descriptive statistics and linear model fitting
  • RMarkdown for building reproducible reports
  • installing additional libraries
  • histograms, scatter plots, boxplots (in pure R and elegant with ggplot2 library)
  • filtering, sorting, summarizing of a table; joining/merging multiple tables (with dplyr library)
  • Prerequisites
  • The course assumes no prior programming knowledge. The course requires elementary statistics knowledge.

Participants must bring own laptops capable of running RStudio. Please download and install free RStudio Desktop before the course. Optionally, you may additionally download and install a console version of R.