potthoff {growth} | R Documentation |
potthoff
fits the Potthoff and Roy repeated measurements growth
curve model with unstructured covariance matrix to completely balanced
data.
potthoff(response, x, ccov=NULL, times=NULL, torder=0, orthogonal=TRUE)
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
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)