We will be running a two-day workshop at UNSW in the lead-up to the Eco-Stats conference in December. This course is aimed at ecologists who recall some intro stats and want to get up to speed on more modern methods of modelling data using R.
The core idea in the course is to recognise that most statistical methods
you use can be understood under a single framework, as special cases of
(generalised) linear models - including linear regression, t-tests,
ANOVA, ANCOVA, logistic regression and chi-square tests. Learning these
methods in a systematic way, instead of as a "cookbook" of different
methods, enables a systematic approach to key steps in analysis (like
assumption checking) and extension to handle more complex situations you
might encounter in the future (random factors, multivariate analysis,
choosing between a set of competing models).
The course will be taught by the UNSW Eco-Stats group (it will be led by Francis Hui and Gordana Popovic, with contributions by David Warton and others).
Register via the conference website at http://www.eco-stats.unsw.edu.au/register.html
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