Can you please post the following stats course aimed at biologists ot the marmam list please. Thank you in advance Oliver Hooker "Advancing in Statistical Modelling using R" Delivered by Dr. Luc Bussiere and Dr. Tom Houslay http://prstatistics.com/course/advancing-in-statistical-modelling-using-r-ad... This course will run from 2nd – 6th May 2016 at Malhamtarn Field Station, North Yorkshire, England This is an introduction to model selection and simplification, mixed effects models, generalised linear models and non-linear models. The course is aimed at biologists with a basic to moderate knowledge in R. The course content is designed to bridge the gap between basic R coding and more advanced statistical modelling. This five day course will consist of series of modules, each lasting roughly half a day and comprised of lectures and practicals designed to either build required skills for future modules or to perform a family of analyses that is frequently encountered in the biological literature. Course content is as follows Day 1 Course introduction • Techniques for data manipulation, aggregation, and visualisation; introduction to linear regression. Packages: {tidyr}, {dplyr}, {ggplot2} Day 2 Linear models • Diagnostics, collinearity, scaling, plotting fitted values); fitting and interpreting interaction terms; model selection and simplification; general linear models and ANCOVA. Packages: {stats}, {car} Day 3 Generalized linear models • Logistic and Poisson regression; predicting using model objects and visualizing model fits. Packages: {broom}, {visreg}, {ggplot2} Day 4 Mixed effects models • Theory and practice of mixed effect models; visualising fixed and random effects. Packages: {lme4}, {broom}, {ggplot2}, {sjPlot} Day 5 Fitting nonlinear functions • Polynomial & Mechanistic models; brief introduction to more advanced topics & combining methods (e.g., generalised linear mixed effects, nonlinear mixed effects, and zero-inflated and zero-altered models). Packages: {nlsTools}. • Afternoon to discuss own data if time permits Please email any inquiries to oliverhooker@prstatistics.com or visit our website www.prstatistics.com Please feel free to distribute this material anywhere you feel is suitable Upcoming courses - email for details oliverhooker@prstatistics.com SPATIAL ANALYSIS OF ECOLOGIC AL DATA USING R (APRIL) TIMES SERIES DATA ANALYSIS FOR ECOLOGISTS AND CLIMATOLOGISTS (May) INTRODUCTION TO PYTHON FOR BIOLOGISTS (May) ADVANCES IN DNA TAXONOMY USING R (August) GENETIC DATA ANALYSIS USING R (August) INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (August) MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (October) LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (October) APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (October) Dates still to be confirmed - email for details oliverhooker@prstatistics.com STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R INTRODUCTION TO R AND STATISTICS FOR BIOLOGISTS PHYLOGENETIC DATA ANALYSIS USING R BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS Oliver Hooker PR statistics 3/1 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340 www.prstatistics.com www.prstatistics.com/organiser/oliver-hooker/