Methods in Experimental Ecology I (PCB 6466)
 Time: Mondays and Wednesdays (1:002:20)
 Room: Bio 305
 Instructor: Dave Jenkins, office = BIO 111B, email [david.jenkins AT ucf.edu] for help / meetings
 TA: Leo Ohyama, office = BIO 309 or 111, email [leoohyama AT knights.ucf.edu] for help / meetings
Textbook: Hector. 2015. The New Statistics with R. Available FREE thru UCF Library (with your login) at:
http://ezproxy.net.ucf.edu/login?url=http://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780198729051.001.0001/acprof9780198729051
Recorded lectures are available on youtube
Learn how to design, analyze and interpret experiments and quantitative observations. Introduction to modern statistical software and basic statistical methods needed to collect, organize and interpret data critically. For beginning graduate and senior undergraduate researchers, this course bridges between undergraduate stats and Methods II.
Week  Videos etc. (before class)  Reading (before class)  InClass Topics  Assignments 
1  Installing R & RStudio  Popularity of stats software
Hector Ch. 1 & Appendix 
Course overview & goals The new statistics 

2  Data basics  Hypotheses 1 , 2  Readings discussion
Handling Data in R 
(Due 5 Sep) 
3  MON: LABOR DAY 
– – – –

(Due 12 Sep) 

4  How To Graph in RStudio: The Basics  Helicopter experiment  Conduct helicopter experiment
Your Copter Data v2 
(Due 19 Sep) 
5  Probabilities  Normality tests I  Graphing copter data II 
(Due 26 Sep) 
6  Z and ttests 
Hector (2015) Ch. 2 & 3 
t tests 
(Due 4 Oct) 
7  ANOVAs II  Hector (2015) Ch. 6  Readings discussion 
(Due 10 Oct) 
8 
Hector (2015) Ch. 5 
CIs.R (a txt file) 
(Due 17 Oct) 

9  OLS Regressions  Hector (2015) Ch. 6  Linear regressions 
(Due 24 Oct) 
10  ANCOVAs 
Hector (2015) Ch. 7 
ANCOVAs 
(Due 2 Nov) 
11  Generalized Linear Models I  Hector (2015) Ch. 8, 9  GLMs 1 
(Due 10 Nov) 
12 
Hector (2015) Ch. 10 
Mixed Effects ANOVAs 
(Due 16 Nov) 

13  MON: VETERAN’S DAY

Logistic Regressions 
(Due 21 Nov) 

14  Mon: Intro to Multivariate Analyses
WED: T’GIVING 
CRAN Multivariate Task View
– – – – 
Ordination
data – – – – 
no homework
– – – – 
15 
– – – – 
– – – –  Study design & analyses, revisited
Review & inclass practice Cumulative Final Exam to you 28^{th} 
no homework
– – – – 
16 
Finals Week 
Finals Week  Finals Week 
Final DUE 6th 