Topic PDFs Data & Scripts Exercises Introduction Syllabus (August, 2013) http://cran.r-project.org/doc/manuals/R-intro.pdf Instructions for exercises Introduction to Probability Exercise 1a Random variables and Probability distributions Probability distributions – R demo (1) Ellison and Dennis 2010 (1) Exercise 1b Managing and curating data Managing and curating data – R demo (2) Burgman 2011 (2) Metadata Hypericum cumulicola Hypericum cumulicola Exercise 2 Experimental design Summary Statistics and sampling Law Large Numbers – R demo (3) Analysis of Averages – R demo (3) Hurlbert 1984 (3) Hypericum cumulicola height Hypericum cumulicola population level law large numbers Central limit theorem Analysis of Averages Exercise 3 Statistical models Confidence intervals Confidence intervals – R demo (4) Fidler et al 2006 (4) Confidence intervals Exercise 4 Three Frameworks for Statistical Analysis Three frameworks- R demo (5) Crowley 1992 (5) Ant_Nests Ant Nest Data.txt Exercise 5 Data for exercise 5 Simple linear Regression Regression – R demo (6) Ellison 2004 (6) Regression.R Regression_data Exercise 6 Data for exercise 6 Transformations Useful properties of the normal distribution Normal distribution t-distribution in R F-distribution in R Exam 1 Exam 1 Questions Birds Saxifraga Return Date: October 9 @ 3:00 PM Multiple Regression Multiple regression – R demo (7) Stephens et al 2007 (7) multiple regression R Data regression Exercise 7 Model selection Model Selection – R demo (8) Johnson & Omland 2008 (8) Snake data Snake dat.txt Linear vs. polynomial Exercise 8 Data for Exercise 8 Bibliography model selection Arnod 2010 Doherty et al 2010 Hutto 2012 Lukacs et al 2010 Lukacs et al 2007 Burham & Anderson 2004 Plowright et al 2008 Stamps et al 2005 General linear models (ANOVA) General linear models – R demo (9) Bolker et al 2008 (9) ANOVA scrip ANOVA data Exercise 9 Data for Exercise 9 Nested and Block designs ANOVA block/nested – R demo ANOVA block/nested script ANOVA block data ANOVA nested data Exercise X Data for Exercise Data for Exercise Factorial designs ANOVA factorial – R demo ANOVA factorial ANOVA data for R factorial design ANOVA excell factorial data Exercise Y Data for Exercise General linear models (ANCOVA) ANCOVA – R demo (10) Hoenig and Heisey 2001 (10) Ancova script Ancova data Exercise 10 Data for Exercise 10 Regression of counts (Non-normal errors) Snakes scriptSnakes data Mantis script Mantis data Multiple Comparisons Day and Quinn 1989 (11) Dunnett table Multiple comparisons – R demo (11) Multiple comparisons data Exercise 11 Data for Exercise 11 Logistic Regression Logistic Regression – R demo (12) the logit transformation Colegrave and Ruxtom 2002 (12) Logistic Regression – R demo (12) Hypericum survival Exercise 12 Data for Exercise 12 Analysis of Categorical Data Categorical analysis – R demo (13) Johnson 1999, 2005 (13) Analysis of categorical data Bayesian – loglinear Sinclair Exercise 13 Data for Exercise 13 Final Exam Final Exam Wiregrass Return Date: December 6 @ 11:59 PM Thanks for the opportunity of sharing ideas with you!