response
Response vector of the linear mixed-effects model
Syntax
Description
Examples
Plot Response versus Fitted Values
Load the sample data.
load('weight.mat');
weight
contains data from a longitudinal study, where 20 subjects are randomly assigned to 4 exercise programs, and their weight loss is recorded over two-week time periods. This is simulated data.
Store the data in a table. Define Subject
and Program
as categorical variables.
tbl = table(InitialWeight,Program,Subject,Week,y); tbl.Subject = nominal(tbl.Subject); tbl.Program = nominal(tbl.Program);
Fit a linear mixed-effects model where the initial weight, type of program, week, and the interaction between the week and type of program are the fixed effects. The intercept and week vary by subject.
lme = fitlme(tbl,'y ~ InitialWeight + Program*Week + (Week|Subject)');
Compute the fitted values and the response.
F = fitted(lme); y = response(lme);
Plot the response versus the fitted values.
plot(F,y,'bs') xlabel('Fitted Values') ylabel('Response')
Input Arguments
lme
— Linear mixed-effects model
LinearMixedModel
object
Linear mixed-effects model, specified as a LinearMixedModel
object constructed using fitlme
or fitlmematrix
.
Output Arguments
y
— Response values
n-by-1 vector
Response values, specified as an n-by-1 vector, where n is the number of observations.
Data Types: single
| double
Version History
Introduced in R2013b
See Also
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