Summary of a balanced longitudinal data set
For a balanced longitudinal data set a vector of the mean response and variances at defined time points is returned along with the correlation matrix of the responses across the time points.
summarybal(object, Y.col, times, use = "all.obs", na.rm, ...)
object |
a longitudinal data set in the balanced format. |
Y.col |
the column numbers of the longitudinal measurements at each
design time point in the |
times |
a vector of unique time points of the longitudinal measurements.
This does not have to be all of the study time points and may be a subset
instead, but should match the columns defined in |
use |
an optional character string giving a method for computing
covariances in the presence of missing values. This must be (an
abbreviation of) one of the strings |
na.rm |
logical. Should missing values be removed? By default,
|
... |
further arguments for the summary. |
A list
with three elements:
|
a matrix with the time points in the first column and the mean response vector as the second column. |
|
The vector of variances for the response at the time points. |
|
Containing the correlation matrix of the responses between each pair of time points. |
Ines Sousa (isousa@math.uminho.pt)
data(mental) summarybal(mental, Y.col = 2:7, times = c(0, 1, 2, 4, 6, 8), na.rm = TRUE)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.