But how to test this?
Mantel’s test
The main problem with the Mantel test (at least for me) is that it is only based on linear correlations, so nonlinear relationships can’t be investigated.
I will have to keep you posted on the answer!
I am currently looking at whether populations are more similar in their sensitivities to climate if they are geographically closer to one another. I would expect that populations that are further apart might have fairly different sensitivities compared to those that are closer together. But how to test this?The problem is that the data are not independent. This is because the difference in sensitivity between population 1 and 2 uses some of the same information as the difference between populations 1 and 3. This means that if you were to carry out a normal regression on the data the standard errors would be much smaller than they actually are, so you are more likely to get a “significant” result where you might not actually have one. Mantel’s test |
AuthorWhen it comes to statistics I need to write everything that I learn down and re-read it a million times. So I thought, why not write it here! Archives
August 2018
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ArticlesInteraction terms in linear models: Interaction between two numerical variables
Dealing with distances Standardised regression slopes Interpreting Results from Structural Equation Models Path analysis and structural equation models Interpreting results from multiple regression Trends over time Correlation vs. Covariance Some info about logistic regression Editing R figures in illustrator Converting confidence intervals into SE Reconstituting SE values from the logit scale Matrix multiplication Understanding survival equations X as a random variable in regression Interpreting interactions in linear regression models Create a sequence of numbers in R Finding the distance between long and lat coordinates |