Linear mixed effects parameters
Fixed Effects formula Distance ~ days_post_transplant * genotype * donor
Metric Distance
Group column [genotype, donor]
State column days_post_transplant
Individual ID column mouse_id
Random effects None

Model summary

model summary
Model: MixedLM
No. Observations: 35
No. Groups: 12
Min. group size: 2
Max. group size: 3
Mean group size: 2.9
Dependent Variable: Distance
Method: REML
Scale: 0.0117
Log-Likelihood: 2.2754
Converged: No

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Model results

Coef. Std.Err. z P>|z| [0.025 0.975]
Intercept 0.247 0.076 3.251 0.001 0.098 0.395
genotype[T.wild type] 0.254 0.107 2.363 0.018 0.043 0.464
donor[T.pd_1] 0.164 0.107 1.525 0.127 -0.047 0.374
genotype[T.wild type]:donor[T.pd_1] -0.444 0.154 -2.893 0.004 -0.746 -0.143
days_post_transplant 0.005 0.002 2.215 0.027 0.001 0.010
days_post_transplant:genotype[T.wild type] -0.007 0.003 -1.940 0.052 -0.013 0.000
days_post_transplant:donor[T.pd_1] -0.008 0.003 -2.268 0.023 -0.014 -0.001
days_post_transplant:genotype[T.wild type]:donor[T.pd_1] 0.012 0.005 2.353 0.019 0.002 0.021
Group Var 0.000 0.060

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Regression scatterplots

Projected Residuals

Fit values for metric vs. observation error (residuals). Residuals should be roughly zero-centered and normal. Uncentered, systematically high or low, and autocorrelated values could indicate a poor model.