> summary(model.1)
Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
Formula: fi$poids_racines ~ (field.treatment + Traitement + Variete + periode)^2 + annee + (1 | ID)
Data: fi
REML criterion at convergence: 3376.6
Scaled residuals:
Min 1Q Median 3Q Max
-3.12008 -0.52707 -0.02464 0.49347 2.98721
Random effects:
Groups Name Variance Std.Dev.
ID (Intercept) 75.54 8.691
Residual 1881.61 43.378
Number of obs: 360, groups: ID, 40
Fixed effects:
Estimate Std. Error df t value Pr(>|t|)
(Intercept) 84.0194 17.4287 27.5929 4.821 4.68e-05 ***
field.treatmentYes -60.1389 16.4164 16.7896 -3.663 0.001959 **
TraitementP1 -15.8778 20.6193 18.5517 -0.770 0.450968
TraitementP2 -91.8444 20.6193 18.5517 -4.454 0.000287 ***
TraitementP3 -36.4444 20.6193 18.5517 -1.767 0.093590 .
Varietevar2 48.6528 21.4544 20.0190 2.268 0.034568 *
Varietevar3 64.7778 21.4544 20.0190 3.019 0.006769 **
Varietevar4 3.6944 21.4544 20.0190 0.172 0.865009
Varietevar5 33.5694 21.4544 20.0190 1.565 0.133327
periode5months 53.8500 16.8001 300.0000 3.205 0.001494 **
periode7months 78.6583 16.8001 300.0000 4.682 4.31e-06 ***
anneean2 0.8083 5.6000 300.0000 0.144 0.885325
anneean3 -18.3083 5.6000 300.0000 -3.269 0.001203 **
field.treatmentYes:TraitementP1 31.0889 15.0892 12.0000 2.060 0.061734 .
field.treatmentYes:TraitementP2 69.0000 15.0892 12.0000 4.573 0.000640 ***
field.treatmentYes:TraitementP3 26.3111 15.0892 12.0000 1.744 0.106748
field.treatmentYes:Varietevar2 -18.0278 16.8703 12.0000 -1.069 0.306269
field.treatmentYes:Varietevar3 -31.6389 16.8703 12.0000 -1.875 0.085268 .
field.treatmentYes:Varietevar4 6.6944 16.8703 12.0000 0.397 0.698467
field.treatmentYes:Varietevar5 -22.9167 16.8703 12.0000 -1.358 0.199324
field.treatmentYes:periode5months 0.6000 11.2000 300.0000 0.054 0.957312
field.treatmentYes:periode7months 9.0167 11.2000 300.0000 0.805 0.421425
TraitementP1:Varietevar2 -42.8889 23.8581 12.0000 -1.798 0.097420 .
TraitementP2:Varietevar2 -19.5000 23.8581 12.0000 -0.817 0.429669
TraitementP3:Varietevar2 -1.6667 23.8581 12.0000 -0.070 0.945458
TraitementP1:Varietevar3 -7.3333 23.8581 12.0000 -0.307 0.763829
TraitementP2:Varietevar3 -18.7222 23.8581 12.0000 -0.785 0.447827
TraitementP3:Varietevar3 -15.4444 23.8581 12.0000 -0.647 0.529598
TraitementP1:Varietevar4 7.3333 23.8581 12.0000 0.307 0.763829
TraitementP2:Varietevar4 3.1667 23.8581 12.0000 0.133 0.896607
TraitementP3:Varietevar4 -8.3333 23.8581 12.0000 -0.349 0.732927
TraitementP1:Varietevar5 -47.1111 23.8581 12.0000 -1.975 0.071774 .
TraitementP2:Varietevar5 -5.8889 23.8581 12.0000 -0.247 0.809212
TraitementP3:Varietevar5 -8.9444 23.8581 12.0000 -0.375 0.714276
TraitementP1:periode5months 2.3667 15.8393 300.0000 0.149 0.881324
TraitementP2:periode5months -35.5333 15.8393 300.0000 -2.243 0.025602 *
TraitementP3:periode5months -24.1000 15.8393 300.0000 -1.522 0.129179
TraitementP1:periode7months 11.8000 15.8393 300.0000 0.745 0.456864
TraitementP2:periode7months -51.7667 15.8393 300.0000 -3.268 0.001208 **
TraitementP3:periode7months -7.2000 15.8393 300.0000 -0.455 0.649750
Varietevar2:periode5months -19.1667 17.7088 300.0000 -1.082 0.279978
Varietevar3:periode5months -34.7083 17.7088 300.0000 -1.960 0.050928 .
Varietevar4:periode5months -17.1667 17.7088 300.0000 -0.969 0.333134
Varietevar5:periode5months -28.0417 17.7088 300.0000 -1.583 0.114364
Varietevar2:periode7months -58.0833 17.7088 300.0000 -3.280 0.001161 **
Varietevar3:periode7months -53.5000 17.7088 300.0000 -3.021 0.002736 **
Varietevar4:periode7months -27.9583 17.7088 300.0000 -1.579 0.115440
Varietevar5:periode7months -35.7917 17.7088 300.0000 -2.021 0.044155 *
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Correlation matrix not shown by default, as p = 48 > 12.
Use print(x, correlation=TRUE) or
vcov(x) if you need it
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