12 research outputs found

    R code for analysis

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    This R file contains the examples necessary to reproduce our analyses using the accompanying data set. This code has been written by Jamie Winternitz, who can be contacted at jcwinternitz-at-gmail-dot-com. The file consists of the nine following sections: # 1. Loading and visualizing data # 2. DIC-based model selection for random effects # 3. Heterogeneity estimation # 4. Univariate estimates of moderators and contrasts # 5. Forest plots # 6. Tests for publication bias # 7. Testing if negative MHC effect sizes (indicating similarity) differ from zero # 8. Bivariate models for MHC~Neutral marker correlations # 9. Power analysis for random-effects meta-analysis # 10. Plotting the phylogenetic signal of MHC-associated mate choic

    Repeated measures ANOVAs and within subjects effects (parasite abundance/prevalence in the first and the second year) with laying date, clutch size, brood size, body condition and population density of hosts in two separate study years as within subjects factors and interactions between the repeated measure and latitude, temperature change, variation in parasitism (i.e. change in abundance and prevalence of parasites) and identity of parasite group as between subjects factors. P-values smaller than 0.05 are shown in bold.

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    <p>Interactions are indicated by *.</p
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