Description Usage Arguments Value Author(s) See Also Examples

`potthoff`

fits the Potthoff and Roy repeated measurements growth curve
model with unstructured covariance matrix to completely balanced data.

1 2 |

`response` |
A matrix or dataframe of response values. |

`x` |
A matrix defining the complete intersubject differences or a Wilkinson and Rogers formula that will create one. |

`ccov` |
A matrix of columns of the baseline covariates to be actually fitted, with one row per individual or a W&R formula that will create one. |

`times` |
A vector of unequally spaced times when they are the same for all individuals. Not necessary if equally spaced. |

`torder` |
Order of the polynomial in time to be fitted. If non-numeric, the full model in time is fitted. |

`orthogonal` |
If TRUE, uses orthogonal polynomials for time, otherwise only centres times at their mean. |

A list of class potthoff is returned.

J.K. Lindsey

1 2 3 4 5 6 7 8 9 10 11 12 | ```
y <- matrix(rnorm(40),ncol=5)
x <- gl(2,4)
# full model with treatment effect
potthoff(y, ~x, torder="f", ccov=~x)
# no time trend with treatment effect
potthoff(y, ~x, torder=0, ccov=~x)
# quadratic time with treatment effect
potthoff(y, ~x, torder=2, ccov=~x)
# full model without treatment effect
potthoff(y, ~x, torder="f")
# linear time without treatment effect
potthoff(y, ~x, torder=1)
``` |

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