A function to create homogeneous groups of named objects according
to an objective function evaluated at a covariate. It can be useful
to design experiments which contain a fixed covariate factor.
Usage
creategroups(x, ngroups, sizes, fun = mean, tol = 0.01, maxit = 200)
Arguments
x
a numeric vector of a covariate at which to evaluate the objective function.
ngroups
the number of groups to create.
sizes
a numeric vector of length equal to ngroups containing the group sizes.
fun
the objective function, i.e., to create groups with similar fun; default is mean.
tol
the tolerance level to define the groups as homogenenous; see details.
maxit
the maximum number of iterations; default is 200.
Value
A list of
covara character indicating the name of the covariate.
funca character indicating the name of the objective function.
val.funca numeric vector containing the values evaluated by func on each group.
niterthe number of iteration require to achieve convergence.
labelsa list containing the labels of the objects in each group.
groupsa list of named vectors containing the values for the groups
Details
creategroups uses a tol value to evaluate the following statistic:
$h = \sum_{j}^{ngroups} abs( t_{j+1} - t_j ) / ngroups$, where $t_j = fun(group_j)$.
If $h \leq tol$, the groups are considered homogeneous.