RepeatedMeasuresModel
Repeated measures model object
Description
A RepeatedMeasuresModel
object represents
a model fitted to data with multiple measurements per subject. The
object comprises data, fitted coefficients, covariance parameters,
design matrix, error degrees of freedom, and between- and within-subjects
factor names for a repeated measures model. You can predict model
responses using the predict
method and generate
random data at new design points using the random
method.
Creation
Fit a repeated measures model and create a RepeatedMeasuresModel
object using fitrm
.
Properties
Object Functions
ranova | Repeated measures analysis of variance |
anova | Analysis of variance for between-subject effects in a repeated measures model |
mauchly | Mauchly’s test for sphericity |
epsilon | Epsilon adjustment for repeated measures anova |
multcompare | Multiple comparison of estimated marginal means |
manova | Multivariate analysis of variance |
coeftest | Linear hypothesis test on coefficients of repeated measures model |
grpstats | Compute descriptive statistics of repeated measures data by group |
margmean | Estimate marginal means |
plot | Plot data with optional grouping |
plotprofile | Plot expected marginal means with optional grouping |
predict | Compute predicted values given predictor values |
random | Generate new random response values given predictor values |
Examples
More About
Version History
Introduced in R2014a