lizard_brain_evolution/dien.doc at main · ljohnso14/lizard_brain_evolution · GitHub

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Diencephalon

Analysis of Variance, using Residual Randomization
Permutation procedure: Randomization of null model residuals
Number of permutations: 1000
Estimation method: Generalized Least-Squares (via OLS projection)
Sums of Squares and Cross-products: Type III
Effect sizes (Z) based on F distributions

                  Df        SS         MS     Rsq      F        Z Pr(>F)
Csize              1 0.0001676 0.00016755 0.01568 0.4714 -1.25563  0.890
hatchlingSVL       1 0.0004862 0.00048625 0.04551 1.3679  0.81597  0.210
clutch_size        1 0.0002583 0.00025835 0.02418 0.7268 -0.36089  0.630
reproductive_mode  1 0.0006954 0.00069536 0.06509 1.9562  1.46464  0.077 .
Residuals         24 0.0085311 0.00035546 0.79854
Total             28 0.0106834
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Call: procD.lm(f1 = coords ~ Csize + hatchlingSVL + clutch_size + reproductive_mode,
    iter = iter, seed = seed, RRPP = TRUE, SS.type = SS.type,
    effect.type = effect.type, int.first = int.first, Cov = Cov,
    data = data, print.progress = print.progress)

Analysis of Variance, using Residual Randomization
Permutation procedure: Randomization of null model residuals
Number of permutations: 1000
Estimation method: Generalized Least-Squares (via OLS projection)
Sums of Squares and Cross-products: Type III
Effect sizes (Z) based on F distributions

              Df        SS         MS     Rsq      F       Z Pr(>F)
Csize          1 0.0012379 0.00123789 0.11587 3.7367 2.41863  0.005 **
activity_time  2 0.0010272 0.00051361 0.09615 1.5504 1.20980  0.120
microhabitat   2 0.0009200 0.00046000 0.08612 1.3886 0.97117  0.166
foraging_mode  3 0.0014193 0.00047309 0.13285 1.4281 1.15537  0.131
Residuals     20 0.0066255 0.00033128 0.62017
Total         28 0.0106834
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Call: procD.lm(f1 = coords ~ Csize + activity_time + microhabitat +
    foraging_mode, iter = iter, seed = seed, RRPP = TRUE, SS.type = SS.type,
    effect.type = effect.type, int.first = int.first, Cov = Cov,
    data = data, print.progress = print.progress)