How to fit a general-linear mixed-effects model with categorical variables?

10 次查看（过去 30 天）
Falk Lieder
Falk Lieder 2015-10-5
回答： Tom Lane 2015-10-24
Hi,
I am using the function fitglme from the statistics toolbox to fit a mixed-effects model with repeated measurements and categorical predictor variables as follows:
data_nr_acquisitions=table(nr_acquisitions,problem_type,block,subject);
glme=fitglme(data_nr_acquisitions,'nr_acquisitions ~ problem_type + block + (problem_type| subject) + (block| subject) + (1|subject)')
anova(glme)
The variable problem_type is categorical, but the code above does not take this into account. I tried to instruct fitglme to treat problem_type as a categorical variable with the argument "CategoricalVars" but unlike fitglm the function fitglme does not accept this argument. Can fitglme handle categorical variables and how can I get it to treat a variables as categorical?

请先登录，再回答此问题。

采纳的回答

Tom Lane
Tom Lane 2015-10-24
Try
data_nr_acquisitions.problem_type = categorical(data_nr_acquisitions.problem_type)
before you do the fit.

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Analysis of Variance and Covariance 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by