Confidence intervals for fitlme

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jjohn33
jjohn33 am 2 Feb. 2020
Beantwortet: Myrtle42 am 5 Aug. 2020
How can I plot the confidence intervals from the fitlme mixed model?
lme = fitlme(T1,' par ~ 1 + cov + (1 I ID)','FitMethod','REML');
Example:
Image 8.jpg
Results:
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue Lower Upper
{'(Intercept)'} 0.021452 0.0022428 9.5647 50 7.0315e-13 0.016947 0.025957
{'cov' } 0.00022556 0.00017193 1.3119 50 0.19554 -0.00011977 0.0005709

Akzeptierte Antwort

jjohn33
jjohn33 am 3 Feb. 2020
The plot image is only showing for standard regression not included random for the intercept in this case. The lme. Coefficient is only one value and it is not calculated over the prediction line.

Weitere Antworten (2)

Jakob B. Nielsen
Jakob B. Nielsen am 3 Feb. 2020
If you look at the linear mixed model documentation you should be able to extract the confidence interval values from lme.Coefficients.Upper and lme.Coefficients.Lower. (They are the red dotted lines already in your plot, by the way).

Myrtle42
Myrtle42 am 5 Aug. 2020
In case anyone else is still wondering about this, the predict function is the way to go:

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Version

R2019b

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