number of observations in data used to grow a tree.
OPTIONAL ARGUMENTS:
mincut
minimum number of observations to include before the first cut on
a variable.
This can not be greater than half of
minsize.
The default is the smaller of
5 and
trunc(minsize/2).
minsize
node size at which the last split is performed, i.e.
minsize=5 means
that growing continues if there are at least 5 observations in a node.
The default is the larger of
10 and
2*mincut.
mindev
minimum node deviance before growing stops.
VALUE:
a list
mincut
the maximum of the input or default
mincut and
1.
minsize
the maximum of the input or default
minsize and
2.
mindev
the input or default
mindev.
nmax
the ceiling of the smaller of
4*nobs/(minsize-1) and
4/mindev, where
minsize
is the output
minsize.
nobs
the value of the argument
nobs.
DETAILS:
To fit a tree perfectly to the data, use
minsize=2
and
mindev=0.