Methods in Experimental Ecology I (PCB 6466)
 Time: Mondays and Wednesdays (1:002:20)
 Room: Bio 305
 Instructor: Dave Jenkins, office = Rm 111B, email [david.jenkins AT ucf.edu] for help / meetings
 TA: Leo Ohyama, office = BIO 309, 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 , 3  Readings discussion 
(Due 6 Sep) 
3  MON: LABOR DAY 
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(Due 20 Sep) 
4  IRMA !  IRMA !  IRMA ! 
IRMA ! 
5  How To Graph in RStudio: The Basics  Tufte in R  Copter data F16 
(Due 25 Sep) 
6  Probabilities  Normality tests I  Graphing copter data II 
(Due 2 Oct) 
7  Z and ttests 
Hector (2015) Ch. 2 & 3 
t tests 
(Due 9 Oct) 
8  ANOVAs II  Hector (2015) Ch. 6  Readings discussion 
(Due 16 Oct) 
9 
Hector (2015) Ch. 5 
CIs.R (a txt file) 
(Due 23 Oct) 

10  OLS Regressions  Hector (2015) Ch. 6  Linear regressions
SMA regression 
Homework #9 (Due 30 Oct) 
11  ANCOVAs 
Hector (2015) Ch. 7 
ANCOVAs
Multiple regressions 
Homework #10 (Due 6 Nov) 
12  Generalized Linear Models I 
Hector (2015) Ch. 8, 9 
GLMs I
GLMs II 
Homework #11 (Due 13 Nov) 
13 
Hector (2015) Ch. 10 
Mixedeffect ANOVAs
GLMMs 
Homework #12 (Due 20 Nov) 

14  Logistic Regressions
WED: THANKSGIVING 
– – – –  Logistic regressions
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15 
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– – – –  Study design & analyses, revisited
Review & inclass practice Cumulative Final Exam to you 29^{th} 
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16 
Finals Week 
Finals Week  Finals Week 
Final DUE 6th 