R code for analysis
收藏DataONE2016-11-14 更新2024-06-26 收录
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资源简介：
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 choice
创建时间：
2016-11-14
