Intro to R for statistics

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Introduction to R for Statistical Analysis

To be announced

Scope

The aim of this course is to provide an introduction to R, a language and environment for statistical computing and graphics. Focus of the course will be on getting familiar with the R environment, to use R for manipulation and exploration of data, and to perform simple statistical analyses. Hands-on exercises will form a large part of the workshop. After introduction of a topic, participants can work through some exercises, familiarizing themselves with the ideas.

Programme

This course is aimed at scientists who have started to work with R and want to know more about the procedures and options of the programme. No prior knowledge of R is expected.

  • Day 1, morning: introduction into R language, data structures, data manipulation
  • Day 1, afternoon: graphics, simple programming
  • Day 2, morning: basic statistics and simulation
  • Day 2, afternoon: linear models, miscellanea
 
General information
 
Target Group The course is aimed at PhD candidates that work with data requiring basic statistical analyses
Group Size Min. 25 - Max. 35 participants
Course duration 2 days
Language of instruction English
Frequency of recurrence Twice a year (Spring and Autumn)
Number of credits 0.6 ECTS
Lecturers Dr. Gerrit Gort, Dr. John Bastiaansen, Ghyslaine Schopen 
Prior knowledge No prior knowledge of R is expected from the participants, but proficiency in Basic Statistics is assumed
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Note that besides the restaurants in Wageningen, there are also options to have dinner at Wageningen Campus.

 

Fees 1

Generally, the following fees apply for this course, but note that the actual fees may be somewhat different for the next edition of this course.

  EARLY-BIRD FEE 2 REGULAR FEE 2
PE&RC / SENSE / WASS / EPS PhD candidates with an approved TSP € 120,- € 170,-
a) All other PhD candidates
b) Postdocs and staff of the above mentioned Graduate Schools
€ 280,- € 330,-
All others € 400,- € 450,-

1 The course fee includes a reader, coffee/tea, and lunches. It does not include accommodation (NB: options for accommodation are given above)
2 The Early-Bird Fee generally applies to anyone who REGISTERS AT LEAST 4 WEEKS PRIOR TO THE START OF THE COURSE

More information

Claudius van de Vijver (PE&RC)
Phone: +31 (0) 317 485116
Email: claudius.vandevijver@wur.nl

Lennart Suselbeek (PE&RC)
Phone: +31 (0) 317 485426
Email: lennart.suselbeek@wur.nl

Registration

This course is currently closed for registration, and will re-open once a new edition of this course is scheduled.