Biological Statistics III

The course materials here are meant for the course Biological statistics III at the Department of Ecology, Environment and Plant Sciences, Stockholm University. But given we are living in the age of open access, sharing of knowledge and materials, and awkward pedagogic platforms, I thought I just place them publicly on my website. In case you think the materials are of any use, feel free to use them. But browse the disclaimers at the bottom of this page?

 

***When the course runs, materials will come online at the pace of the course***

 

Schedule & course info

PDF of course schedule

Link to course schedule in TimeEdit

Course info

Intro to R

 

Data for exercises

Data.zip

 

Lectures

Lecture 1

Lecture 2

Lecture 3

Lecture 4

Lecture 5

Lecture 6

Lecture 7

Lecture 8

Lecture 9

Lecture 10

Lecture 11

Lecture 12

Lecture 13

Lecture 14 / Data and R-code for lecture 14

Lecture 15

Lecture 16

 

Exercises

Exercise 0

Exercise 1

Exercise 2

Exercise 3

Exercise 4

Exercise 5

Exercise 6

Exercise 7

Exercise 8

 

 

 

Disclaimers

Disclaimer 1: As many a teacher, I have compiled my lectures and exercises by inheriting materials from predecessors (thanks Olof Leimar!) and great input from course assistants (thanks Sandra StÃ¥lhandske & Simon Eckerström Liedholm!). But also from reading and browsing the internet. And while I am sure many folks have placed materials and ideas online with the intention to spread it freely, I may also have (unwittingly or out of laziness) stolen something, or provided inappropriate credit. If you see any such case, please contact me directly, and I’ll take action by adding credits or removing the contentious content.

Disclaimer 2: Note that the lectures and exercises are meant as a backdrop for interactive discussions, not as iron-clad guidelines or the sole learning materials.

Disclaimer 3: While I teach statistics, I am no statistician. I am a community ecologist with an interest in statistics. I do realize some will think that statistics should solely be taught by statisticians. Fair enough! At least we have two great statisticians as guest lecturers.