| Topic | PDFs | Data & Scripts |  |  | 
| 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 script  Snakes 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! |  |