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Introduction to R and High-Dimensional Data Analysis in Ecology and Evolutionary Biology Using R

2-4 May, 28 May – 1 June 2018, Lund

Introduction to R

2 MAY – 4 MAY 2018, LUND

This course’s aim is to provide a basic introduction to R, preparing students for additional R courses within ClimBEco and GENECO. The course will use a combination of brief lectures and tutorials where the students will work on prepared problems. We will cover: basic R commands, basic data manipulation in R (different data structures), import and export of data, plotting commands, functions for data summary and manipulation (e.g. computing means, variances, maxima, minima, and apply-functions) and – time permitting – basic statistics. Course leader is Johan Lindström (MERGE). The course is a collaboration between the research schools ClimBEco and GENECO.


The course “Introduction to R” is organised particularly for students registered for the course “High-Dimensional Data Analysis in Ecology and Evolutionary Biology Using R” May 28 – 1 June. For that reason, these students will be given priority. Still, in terms of space, we will fill the course with other students interested in R – mainly students enrolled in ClimBEco and GENECO, and then at the faculty of science at Lund University. Students from outside Lund University, and not within any affiliations mentioned above, are welcome to apply but will be charged, see below.

Credit points: Hp: 1,5*3/5 = 0.9 hp

Cost SEK 900 + VAT

(for invoice please send billing address and reference to: Christina [dot] Rengefors [at] biol [dot] lu [dot] se)


 

High-Dimensional Data Analysis in Ecology and Evolutionary Biology Using R

28 MAY – 1 JUNE 2018, LUND

This workshop is intended for researchers who have interest in analysing high-dimensional data (many continuous variables, or dissimilarity matrices from other types of data). The workshop introduces participants to linear model methods incorporating randomized residual permutation procedures, which allow analysis of high-dimensional data with high statistical power. Emphasis is placed on evaluation of linear model effects for high-dimensional data, how to calculate effect sizes, comparison of models, comparison of covariance structure, and the resampling methods that make these objectives possible. Participants will gain both an understanding of the cutting-edge non-parametric methods for analysis of high-dimensional data and tools for performing such analyses in R. The course is a collaboration between the research schools ClimBEco and GENECO.

The course is free of charge for ClimBEco and GENECO PhD students as well as students enrolled at the Faculty of Science at Lund University. Students from outside Lund University, and not within any affiliations mentioned above, are welcome to apply but will be charged, see below.

Credit points: Hp: 1,5 hp

Cost: SEK 1500 + VAT

(for invoice please send billing address and reference to: Christina [dot] Rengefors [at] biol [dot] lu [dot] se)

Teachers: Dean Adams, Mike Collyer

For any questions regarding the courses please contact Bengt [dot] Hansson [at] biol [dot] lu [dot] se 

Deadline for registration April 20, 2018.

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Contact

General questions

Helena Westerdahl
Associate professor
MEMEG

Telephone: +46 46 222 36 69
E-mail: Helena [dot] Westerdahl [at] biol [dot] lu [dot] se

Questions regarding GENECO courses

Bengt Hansson
Professor
MEMEG

Telephone: +46 46222 49 96
E-mail: Bengt [dot] Hansson [at] biol [dot] lu [dot] se

Questions regarding administration, economy and other practical issues

Christina Rengefors
Project assistant
Department of Biology

Telephone: +46 46 222 96 14
E-mail: Christina [dot] Rengefors [at] biol [dot] lu [dot] se