sineadcollins.bsky.social
@sineadcollins.bsky.social
Hi Eryn! It's Sinead Collins at Edinburgh! Add me! You know me, and this is my google scholar page. And just to prove it's really me, I have no website link because I continue to put off making a website... scholar.google.com/citations?us...
scholar.google.com
May 7, 2025 at 4:43 PM
Reposted
7. Model-averaging, by Peter Dillingham:

Explore how model-averaging enhances the analysis of multi-driver marine experiments with nested and crossed designs, using Arthrocardia under future ocean conditions as a case study:

nzoac.nz/s/Model-aver....
Model-averaging for experiments
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
6. Multiple driver response surfaces, by @mridulkthomas.bsky.social and @sineadcollins.bsky.social

Learn 3 ways to analyse data from a temperature x nutrients response surface experiment, and use the output to understand where in the oceans the species does well.

nzoac.nz/s/Response_s...
Fitting a response surface to data from multiple-driver experiments
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
5. Single-driver response curves, by @mridulkthomas.bsky.social and @sineadcollins.bsky.social

Learn how to fit a temperature response curve to a simulated phytoplankton growth rate experiment. Then use the curve to learn about how the species performs across space & time.

nzoac.nz/s/Single_dri...
Fitting a response curve (reaction norm) to data from single-driver experiments
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
4. Time-response variables, by Sam Dupont, Peter Dillingham & christinamcgraw.bsky.social

Dive into modelling time-response data with R, using a sea urchin experiment to explore how environmental factors shape growth over time:

nzoac.nz/s/Time_respo...
christinamcgraw.bsky.social
christinamcgraw.bsky.social
April 28, 2025 at 11:55 AM
Reposted
3. Blocking in time, by Steeve Comeau and @chrisecornwall.bsky.social

Learn how to estimate the effects of two drivers on a response when your experiment is ‘blocked’ i.e. experimental units grouped in time, often because it’s not feasible to do all at once.

nzoac.nz/s/Blocking_i...
Blocking in time
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
2. Analysing scenarios, by Steeve Comeau and @chrisecornwall.bsky.social

Learn how to estimate the effects of two drivers on a response when your experimental treatments are designed to reflect future climate scenarios.

nzoac.nz/s/Scenario_a...
Scenario approach
nzoac.nz
April 28, 2025 at 11:55 AM
Reposted
1. Statistical power, by Peter Dillingham:

Explore how to use R's built-in functions and simulations to assess the statistical power of a study on sea urchin growth under changing ocean conditions.

nzoac.nz/s/Power-vign...
Power calculation using built-in R functions or via simulation
nzoac.nz
April 28, 2025 at 11:55 AM
…or a diatom…
December 31, 2024 at 4:42 PM
We’re taking requests for which genera to make next!
December 7, 2024 at 9:42 PM
Add me!
December 7, 2024 at 9:15 PM