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Plotting estimates (fixed effects) of a linear mixed-model

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Dan Hallatt
Dan Hallatt on 25 Jul 2019
Edited: the cyclist on 7 Jan 2020
I am familiar with standard linear regression (non-nested) where, after employing fitresult = fitlm(domain,range,'poly1'), you can use plot(fitresult) to plot the fitted linear line with also dotted lines for the confidence bounds of that fit over the domain specified within the fit.
I am now interested in fitting the data to a linear mixed-effects model, by using fitresult = fitlme(HLM_Table,'response ~ predictor + (1|cluster)'), but I cannot find any documentation about plotting the fitted linear regression (fixed coefficients). I have found equivalent documentaruon for plotting residuals and the like, but nothing at all about plotting the actual fitted model. I could do this manually by extracting the fitted fixed coefficients and plotting a line with these over the respective domain, but I am wondering if there is a built in function such as the plot(fitresult) that I used with standard linear regression?

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the cyclist
the cyclist on 25 Jul 2019
Edited: the cyclist on 7 Jan 2020
I could find no mention in the documentation of the LinearMixedModel class that there is an equivalent object function or method. I think you'll have to construct it.

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Dan Hallatt
Dan Hallatt on 7 Jan 2020
I just realized that I forgot to respond to this but I wanted to say thanks! I agree and this is what I ended up doing.

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