300469 UE Applied Multivariate Methods and Heuristic for Biologists (2008W)

Using R software in multivariate applications and practical problems from
Biology. Multivariate distributions, data visualization, statistical
inference testing of statistical hypotheses for multivariate one-,
two-sample and matched-pair experiments, MANOVA a multivariate multiple
comparisons, longitudinal data profile analysis and analysis of growth
curves, multivariate linear regression model, principal components
analysis, cannonical correlation analysis, discrimination linear,
quadratic, flexible and penalized, logistic regression; clustering
algorithms, tree structured classifiers, multivariate categorical data
analysis - contingency tables and correspondence analysis for
questionnaires, spatial statistics, size-and-shape analysis, bootstrap and
permutation approaches.