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