Thursday, 9 January 2014 Back to News

'Data Exploration, Regression, GLM & GAM with introduction to R' Course - July 2014

Dr. Kerry Howell To Run Data Organisation Course In July 2014

Between 7th and 11th July 2014, Highland Statistics will be running a course on 'Data Exploration, Regression, GLM & GAM with introduction to R' at Plymouth University.

Being able to effectively analyse and explore ecological data is a vital part of what we do. This course could transform the way you work with your data, and show you the advantages and shortcomings of different data organisation techniques.

This modelling course will give an introduction to R, and provide a protocol for data exploration so as to avoid common statistical problems, detect outliers and deal with collinearity. It is to be coordinated by Dr. Kerry Howell, lead on the 'Mapping The Deep' Project

It will cover explanations of binomial and negative binomial distributions, how to deal with over-dispersion, and GAM for count data, binary data and proportional data.

The course will look into linear regression as an important tool in statistics, explaining various basic linear regression topics from a biological point of view, such as the correlation between fish abundance and depth.

It will also discuss potential problems with and show how GLM can be used to analyse count data and presence-absence data. Sometimes, parametric models like linear regression and GLM (General Linear Models) do not quite fit the data.

Linear regression, in its basic form, can be very limiting in its assumptions about the data generating process for the variable being studied. In such cases where linear regression or GLM are not appropriate, GAM (Generalised Additive Models) can be used as a smoothing technique.

The tutorials will be given by Dr. Alain Zuur and Dr. Elena Ieno, both of whom have written extensively about analyzing ecological data and mixed effect models and extensions in ecology with R.

The course requires a prior knowledge of basic statistics (mean, variance, histogram, normality), but will teach 'R' 'on the fly', so no prior understanding is needed.

The course will run from 7th to 11th July 2014, from 9.00am until 5.00pm. A 1-hour lunch break and 20-minute tea breaks will be allowed morning and afternoon. Accommodation, lunch and refreshments are not included.