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THURSDAY, March 8

9:30-11:00 (Session A - SM)

Testing of hypothesis (using R)

  • Concepts: type-I error, type-II error, p-value, test statistic, confidence intervals

  • Tests: z-test, t-test, F-test, paired t-test (lower tail, upper tail, two tailed), test for population proportions

  • ANOVA, Non-normal data, Checking for normality, permutation test (aov, multcomp, qqnorm, qqline)

  • Case studies from ecology

Day 2

11:30-13:00 (Session B - SM, BC)

Tutorial session (In groups)

  • Statistical Distribution for Ecologists (Tutorial – IIA)

  • Testing of hypothesis (Tutorial – IIB)

​14:30-16:00 (Session C - SM)

Model building in R – I (Simple Linear Regression)

  • Train and test partition of data (sample, sample.split)

  • Simple Linear Regression (Concepts, Assumptions, Understanding R outputs) (lm, summary)

  • Correlation (cor, corr.test)

  • Checking model assumptions and associated plots (boxcox)

  • Regression diagnostics and associated plots (influential points, high-leverage points, non-constant variance or error, correlation of errors, possible nonlinearity)

  • Prediction using model for new data

  • Measures of Model accuracy (R2, Adjusted R2, AIC, BIC, Mallow’s Cp)

  • Important package: MASS,car

  • Important functions: outlierTest, qqPlot, leveragePlots, influencePlot, ncvTest

16:30-18:00 (Session D - ARB)

Tutorial session (In groups)

  • Model building in R (Tutorial – IID)

​9:00-9:30 (Session 0)

Tutorial session

  • Data manipulation exercises (Tutorial – IC)

  • Statistical Distribution for Ecologists (Tutorial – ID)

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