Table 2. Binomial logistic mixed effect model results for the
analysis of geographic distance between source population and common
garden x seed type on germination rates at the two common gardens (Hazel
Dell and Horse Rock Ridge). Coefficient estimates are expressed as
log-odds values, using contrasts = c(”contr.sum”,”contr.poly”) to
compare each group against the grand mean, where the intercept is the
grand mean and others are deviations from that. For random effects:
σ2 = residual variance of logistic regression model;
τ00 = between-subject variance partitioned to each
random effect in the model; ICC = intraclass correlation coefficient; N
= number of levels to each random effect. OLRE = observation level
random effect. Marginal R2 provides the variance
explained by the fixed effect(s) only while Conditional
R2 provides the variance explained by both the fixed
and random effects, as calculated in Nakagawa et al. (2017).