Multivariate Analysis

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Multivariate Analysis

29 - 31 January, 3 - 4 February 2020

 

Scope

Multidimensional data on community composition, properties of individual populations, or properties of environment are the bread and butter of an ecologist’s life. They need to be carefully analysed taking their multidimensionality into account. Looking at the properties of each variable separately does not work in most cases. The methods for statistical analysis of such data sets fit under the umbrella of ‘multiple regression models and multivariate statistical methods’. In this course, our intention is to provide the participant with both the basic understanding of the principles of multivariate methods and the skills needed to use those methods in his/her own work. The course consists of lectures and computer practicals using RStudio.

Programme
  • Day 1: Collecting data, multiple linear regression and polynomials, qualitative variables in regression, selection of variables, comparing models.
  • Day 2: Loglinear models, analysis of presence-absence data, logistic regression analyses with the Gaussian response model.
  • Day 3: Introduction to multivariate analysis, ordination, direct and indirect analysis of gradients, length of gradient, principal components analysis (PCA), redundancy analysis (RDA), interpretation biplots of PCA and RDA.
  • Day 4: Ordination based on correspondence analysis methods (CA, CCA and DCA) Interpretation CA/DCA plots, choice of method.
  • Day 5: Cluster analysis, choice of similarity measure, agglomerative methods, divisive methods, classification and interpretation.
General information
Target Group The course is aimed at PhD candidates, postdocs, and other academics that are working above plant integration level in plant, animal, and/or environmental/ecological sciences
Group Size Min. 15 / Max. 24 participants
Course duration 5 days
Language of instruction English
Frequency of recurrence Annually (Autumn)
Number of credits 1.5 ECTS
Lecturers Ir. Saskia Burgers (Wageningen UR) and dr. Jos Hageman (Biometris, Wageningen UR)
Prior knowledge Participants are expected to have a good knowledge of basic statistics (like hypothesis testing, t- and F-tests and linear regression) and some experience in a statistical package (GenStat, R, SPSS, or likewise)
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 / WIMEK / WASS / EPS / VLAG / WIAS PhD candidates with an approved TSP € 265,- € 315,-
a) All other PhD candidates
b) Postdocs and staff of the above mentioned Graduate Schools
€ 570,- € 620,-
All others € 835,- € 885,-

1 The course fee includes a reader, coffee/tea, and lunches. It does not include accommodation
2 The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 1 JANUARY 2020

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 € 265,- will be charged.
  • In case of cancellation within two weeks prior to the start of the course, a fee of € 570,- will be charged.
  • If you do not show at all, a fee of € 835,- 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

Ir. Saskia Burgers
Phone: +31 (0) 317 480802
Email: saskia.burgers@wur.nl

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

Registration

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