Biometry
Biology 611/EVSS 624: Biometry Home Page
Ï kid you not, statistics are now the sexiest subject on the planet"
-Hans Rosling, 2010
Course Schedule
Lecture notes
Lecture notes are availible as pdf documents deposited in
this
directory. Direct links are below:
Lectures
Syllabus (EVSS624)
,
Syllabus (BIOL611)
,
Introduction
,
Introduction to data
,
Introduction to R
Reproducible research
Descriptive statistics
Probability distributions
Fitting distributions
Intro to hypothesis testing
Power
ANOVA I
ANOVA II
Likelihood/Support in the context of ANOVA
Experimental design
non-parametric
posthoc tests
Unbalanced data (short foray)
ANOVA models (nested)
Regression
Regression cont
Regression cont
Combining continuous and discrete independent variables
Some comments on graphs
Homegrown application of ML estimation
Relaxing some of the assumptions of linear models
Regression cont
Non-Parametric Regression
Regression compared to anova
Assumption of equal variance in groups
MultivariateI: Ordination
MultivariateII: Clustering
Analyzing count data
Resampling approaches
Labs
Intro to R
Describe data
Probability and pdfs
Maximum likelihood
Begin hypothesis testing
power
intro anova
continue anova
non-parametric
what do you do after ANOVA?
nested models
Statapult
intro to regression
regression cont.
regression cont.
Analysis of Covariance
Maximum likelihood regression
glm: logistic regression
non-parametric regression
Unequal variance
Multivariate lab
Clustering lab
Resample
Frequencies
Assignments
During the semester, assignments can be found in this section
Problem sets
Problem set 1
;
Solutions
Problem set 2
;
Solutions
Exams
Exam 1
solutions
Exam 2
Presentation information
Day of presentations: see google sheet
evaluation form
This is an example, we will use google forms for the actual data entry during the talks
Datasets
Datasets used in class can be found
here
.
R Markdown files
R markdown files that I use in class are found
here
.
Source
Scripts used in lecture and lab can be found
here
Useful links
This section contains links that you may find useful:
Sources of software
R
homepage
CRAN
rstudio.org: an R frontend
Help resources
StatSoft.com
R Markdown
tutorial
Intro statistics
QuickR
R spatial analysis
Assess color blindness effects on your slides
bibliographic tools
Mendeley
Zotero
Online presentations
Rosling population growth (hi-tech)
Rosling on population growth
Random jokes and links
Tim Lee on
Chaos and effective population size
and life-history transition probabilities
Statistics Jokes II
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