Category Archives: Uncategorized

GAM

What is it?

General Additive models, similar to GLMs and GLMMs but it mixes general linear models with additive models. Used for non-linear relationships.
They are good for maximizing the prediction of a dependant variable y from various distributions by estimating unspecific, non-parametric functions of the predictor variables.
How is it different from GLMs?
1. distribution of the dependant variable can be non-normal.
2. The dependant variable values are predicated from a linear combination of predictor variables.
Common Problems.
1. Results are not as easy to interpret as GLM and GLMMs
2. Very easy to “over fit” the data and not be able to replicate on future trials
3. Harder to summary and communicate to others
Heres a good website that explains GAMs well : http://www.statsoft.com/textbook/generalized-additive-models#additive%20models

Taylor’s Open Science Product

I am following Amanda’s good example and posting links to my open science products. I am finding Piktochart isn’t really great at sharing unless you have the pro version.

This is my infographic for my systematic reivew:
https://magic.piktochart.com/output/3234414-stats-in-desert-restoration

This is the addition to my infographic. It’s an interesting tidbit about Nathan Mantel, the statistician who created the Mantel Test:
https://magic.piktochart.com/output/3233790-mantel-man-of-mystery

I also put my systematic review dataset on figshare if anyone is interested:
http://figshare.com/articles/Systematic_review_of_the_use_of_statistics_in_restoration_ecology_of_arid_areas_/1200152

Ordination!

Hi everyone!

Here is a paper that has a nice summary of different ordination methods and how they’re used. It touches on CCA and RDA. It’s pretty math-y but we won’t be going into that much detail, especially since not everyone will be using these stats in their field.

-Katrina & Sam

Peres-Neto et al. 2006