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: 0.0097
Log-Likelihood: 4.7487
Converged: Yes

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Model results

Coef. Std.Err. z P>|z| [0.025 0.975]
Intercept 0.253 0.069 3.660 0.000 0.118 0.389
genotype[T.wild type] 0.222 0.098 2.263 0.024 0.030 0.414
donor[T.pd_1] 0.103 0.098 1.056 0.291 -0.088 0.295
genotype[T.wild type]:donor[T.pd_1] -0.370 0.140 -2.641 0.008 -0.644 -0.095
days_post_transplant 0.005 0.002 2.317 0.020 0.001 0.009
days_post_transplant:genotype[T.wild type] -0.006 0.003 -1.897 0.058 -0.012 0.000
days_post_transplant:donor[T.pd_1] -0.006 0.003 -2.068 0.039 -0.012 -0.000
days_post_transplant:genotype[T.wild type]:donor[T.pd_1] 0.010 0.005 2.183 0.029 0.001 0.019
Group Var 0.000 0.043

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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.