FRIDAY, March 9
9:30-11:00 (Session A - ARB)
Model building in R – II (Multiple Linear Regression)
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Model building with more than one explanatory variable
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Variable selection, exploring correlations (corplot, pairs)
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Comparing models (anova)
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Forward, Backward and Mixed selection (regsubsets), selection criteria
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Prediction for new data using the best model (predict, predict.lm), confidence interval and prediction interval
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Regression diagnostics and checking model assumptions (Multicollinearity, Variance Inflation Factor, vif) (connect - Session IID)
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Important Packages: leaps, caret, corrplot, ISLR, MASS
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Useful functions: createDataPartition, stepAIC
Day 3
11:30-13:00 (Session B)
Statistical Methods in Biological Sciences: General approaches and recent trends
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(Lecture covering different areas of biological sciences, current focus, whether there is any shifting in general approaches, pitfalls)
14:30-16:00 (Session C - BC)
Tutorial session (In groups)
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Model building in R (Tutorial – IIIA)
16:30-18:00 (Session D - ARB)
Introduction to basic R programming
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The basic syntax for programming in R (function)
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Create basic functions (Check tutorial examples)
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Utility of writing functions (Toy examples for ecologists)
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Loops and control flow statements and basic examples (for, if)
9:00-9:30 (Session 0)
Doubt session: Doubts from day-2 will be discussed
