Assign fitlme output to a variable

Is there a way to output specific fitlme parameters? Specifically, how can I assign the t-statistic value to a specified variable? I see how to output the entire fitlme model, but not how to extract a specific value in a function.

Answer 1

[Torsten]

See

https://uk.mathworks.com/help/stats/linearmixedmodel.html

The functions that can be applied to a fitlme object are:

anova Analysis of variance for linear mixed-effects model

coefCI Confidence intervals for coefficients of linear mixed-effects model

coefTest Hypothesis test on fixed and random effects of linear mixed-effects model

compare Compare linear mixed-effects models

covarianceParameters Extract covariance parameters of linear mixed-effects model

designMatrix Fixed- and random-effects design matrices

fitted Fitted responses from a linear mixed-effects model

fixedEffects Estimates of fixed effects and related statistics

partialDependence Compute partial dependence

plotPartialDependence Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots

plotResiduals Plot residuals of linear mixed-effects model

predict Predict response of linear mixed-effects model

random Generate random responses from fitted linear mixed-effects model

randomEffects Estimates of random effects and related statistics

residuals Residuals of fitted linear mixed-effects model

response Response vector of the linear mixed-effects model

[Michael Higley]

Thanks- ultimate solution per your suggestion was to use anova(lme), convert that output into an array, and extract the F stat and p value.

[Torsten]

Usually it's done like in this example:

load imports-85
tbl = table(X(:,12),X(:,14),X(:,24),'VariableNames',{'Horsepower','CityMPG','EngineType'});
lme = fitlme(tbl,'CityMPG~Horsepower+(1|EngineType)+(Horsepower-1|EngineType)');
out = anova(lme)

out = 
    ANOVA MARGINAL TESTS: DFMETHOD = 'RESIDUAL'

    Term                   FStat     DF1    DF2    pValue    
    {'(Intercept)'}         170.4    1      201    1.3147e-28
    {'Horsepower' }        30.581    1      201    9.8848e-08

out.FStat

ans = 2×1

170.3980 30.5807

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out.pValue

ans = 2×1

1.0e-07 * 0.0000 0.9885

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