# 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 perform
an ANOVA on the data using the `anova`

function for between-subject factors or the `ranova`

function for within-subject factors.

## Creation

Fit a repeated measures model and create a `RepeatedMeasuresModel`

object using `fitrm`

.

## Properties

## Object Functions

`ranova` | Analysis of variance for within-subject effects in a repeated measures model |

`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**