Description Usage Arguments Details Examples
draw nested tree based on model estimates/predictors
1 2 3 | nested.tree(object, nesting=names(means),
means=nested.means(object, nesting[-1]), offset=0.05, small=0.02,
estimate="estimate", bar="stderr", jitter=offset/2, ...)
|
object |
data frame |
nesting |
character vector of nesting names for |
means |
list of means with names given by |
offset |
offset for accuracy |
small |
smallest relative separation of names allowable
(scalar, or vector withsame length as |
estimate |
name of estimate or prediction column |
bar |
name of column for accuracy |
jitter |
jitter of names |
... |
plotting parameters |
Either (nesting
and object
) or means
must be
specified.
1 2 3 4 | ## Not run:
nested.tree(means=wheatfix.means,bar="ci",small=c(0,0,.05))
## End(Not run)
|
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