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weight1
2007 Aug 30
0
percentage explained by fixed effects in random model
...of three
components in my mixed model.
If I didnt have a random effect I would just use r squared. I can work out
the percentage explained by the random effect using summary() but this
doesnt give variance for the fixed effects.
Linear mixed-effects model fit by REML
Formula: yell ~ carot.code + weight16 + (1 | fosterbrood)
Data: colour
AIC BIC logLik MLdeviance REMLdeviance
1555.455 1576.282 -772.7276 1536.585 1545.455
Random effects:
Groups Name Variance Std.Dev.
fosterbrood (Intercept) 1.0747 1.0367
Residual 1.1363 1.0660
# of obs: 476, g...