Documentation |
Repeated measures model class
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.
anova | Analysis of variance for between-subject effects |
epsilon | Epsilon adjustment for repeated measures anova |
grpstats | Compute descriptive statistics of repeated measures data by group |
manova | Multivariate analysis of variance |
margmean | Estimate marginal means |
mauchly | Mauchly's test for sphericity |
multcompare | Multiple comparison of estimated 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 |
ranova | Repeated measures analysis of variance |
Wilkinson notation describes the factors present in models. It does not describe the multipliers (coefficients) of those factors.
Use these rules to specify the responses in modelspec.
Wilkinson Notation | Description |
---|---|
Y1,Y2,Y3 | Specific list of variables |
Y1-Y5 | All table variables from Y1 through Y5 |
Use these rules to specify terms in modelspec.
Wilkinson Notation | Factors in Standard Notation |
---|---|
1 | Constant (intercept) term |
X^k, where k is a positive integer | X, X^{2}, ..., X^{k} |
X1 + X2 | X1, X2 |
X1*X2 | X1, X2, X1*X2 |
X1:X2 | X1*X2 only |
-X2 | Do not include X2 |
X1*X2 + X3 | X1, X2, X3, X1*X2 |
X1 + X2 + X3 + X1:X2 | X1, X2, X3, X1*X2 |
X1*X2*X3 - X1:X2:X3 | X1, X2, X3, X1*X2, X1*X3, X2*X3 |
X1*(X2 + X3) | X1, X2, X3, X1*X2, X1*X3 |
Statistics Toolbox™ notation always includes a constant term unless you explicitly remove the term using -1.