Intro to R for statistics

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Introduction to R for Statistical Analysis

23 - 24 October 2017

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 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
 
  EARLY-BIRD FEE 2 REGULAR FEE 2
PE&RC  / SENSE / WASS / EPS PhD candidates with an approved TSP € 120,- € 170,-
All other PhD candidates
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 applies to anyone who REGISTERS ON OR BEFORE 25 SEPTEMBER 2017

Note:

  • If you need an invoice to complete your payment, please send an email to office.pe@wur.nl, including ALL relevant details that should be mentioned on the invoice (e.g., purchase order no., specific addresses, attendees, etc.).
  • The Early-Bird policy is such that the moment of REGISTRATION (and not payment) is leading for determining the fee that applies to you.
  • Please make sure that your payment is arranged within two weeks after your registration.
  • It is the participant's responsibility to make sure that he/she (or his/her secretary) completes the payment correctly and in time.
 
PE&RC Cancellation Conditions
  • Up to 4 (four) weeks prior to the start of the course, cancellation is free of charge.
  • Up to 2 (two) weeks prior to the start of the course, a fee of € 120,- will be charged.
  • In case of cancellation within two weeks prior to the start of the course, a fee of € 280,- will be charged.
  • If you do not show at all, a fee of € 400,- will nevertheless be charged.

Note: If you would like to cancel your registration, ALWAYS inform us (and do note that you will be kept to the cancellation conditions)

More information

Dr. Gerrit Gort
Phone: +31 (0) 317 483570
Email: gerrit.gort@wur.nl

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

Registration

To register, please enter your details below and click "Register".

Long title: 
Introduction to R for Statistical Analysis