Bio300B Logistics 2026

Biostatistics

Richard J. Telford (Richard.Telford@uib.no)

Institutt for biovitenskap, UiB

10 August 2026

People

Who am I?

Photograph of Richard Telford with Ulriken in the background

email: richard.telford@uib.no

  • Palaeoecologist/ecologist with numerical interests

  • R user since 2002

  • Interested in

    • Reconstructing environmental change
    • Effect of climate change on ecosystems
    • Reproducibility in science

Teaching Assistants

Freya Coursey

Photograph of Freya Coursey in a snowy forest

Dynamics between birds and parasites

Peter Farsund

Photograph of Peter Farsund by a river

Mycorrhizae

Kaavya Venkateswaran

Photograph of Kaavya Venkateswaran

Marine microbiology, viruses

Students

112 Students

Including about 3 PhD students

When & Where

Lectures

  • Start Tuesday 11th August 1215–1400
  • Stort auditorium, Høyteknologisenteret

Week off 6th October (Bio325)

Clashes ???

  • ???

Printing Lecture notes

Slides made with quarto & revealjs

  • Toggle into Print View using the E key (or using the Navigation Menu)
  • Open the browser’s print dialogue ().
  • Change the Layout to Landscape.
  • Change the Margins to None.
  • Enable the Background graphics option.
  • Save to PDF or print 🎉

Data labs

3 Groups per week

Group 1 Wednesday 1215–1400 Vilvite Conference roem c/d
Group 2 Thursday 1415–1600 Kursrom 439C1, Høyteknologisenteret
Group 3 Friday 1215–1400 K3 + k4

Locations change after week 1. Group 1 times change.

Please sign up for one group

Possible to change group if space available

Registering attendance

Will register attendance during lectures and datalabs

  • QRcode to scan - links to mitt.uib quiz
  • Enter the access code
  • Press submit (Don’t forget this step)

Assessment

Portfolio assessment

  • submissions on different aspects of the course
    • Six assignments, best five are counted
    • Oral assessment for random subset after each assignment
  • extra work for PhD on heisemner

Hours

5 Credit course

1 ECTS = 25–30 hours

Total = 125–150 hours

12 weeks

~ 10–12 hours per week (including lecture and datalab)

What

Course contents

  • Using R with RStudio
  • Importing and manipulating data with tidyverse
  • Data visualisation with ggplot2
  • Executable documents with quarto
  • Experimental design & Power analysis
  • Linear regression
  • Generalised linear regression
  • Mixed effect models
  • Survival analysis

Software requirements

  • R version >= 4.6
  • RStudio version >= 2026.07.0
  • quarto

For installation & configuration instructions see Chapter 1 of the Working in R coursebook

R packages

  • tidyverse (for data manipulation and plotting)
  • pak (for installing packages from GitHub)
  • usethis (for setting up some course material)
  • here (for helping load file)
  • gt (for making tables)

See Chapter 5 of the Working in R coursebook

(more packages will be needed later in the course)

Resources

Biostats products

Enough R to write a thesis

  • R books
  • Interactive tutorials & apps

Found a mistake / got a suggestion?

Make an issue on github

Reading

R for Data Science

Front cover of R for Data Science showing a Kakapo Parrot

Fundamentals of Data Visualization

Front cover of Fundamentals of Data Visualization showing a Western Rosella Parakeet

Introduction to Modern Statistics

Front cover of Introduction to Modern Statistics

More & biostatistics

Bio courses

  • BIO303 Ordination and Gradient Analysis
    • Spring semester
  • Bio302 Biostatisics II
    • Spring semester

Open Science course (Finse - 19–24 October)

Rklubben

“The first rule about R club is you talk about R.”

  • Come and help fix someone else’s R problems
  • And get help yourself

Fridays 1400-1600 in Tunet (4th floor Bio A)

Any questions?

???