bootstrap
objects.
This calculates empirical percentiles and BCa confidence limits
for the bootstrap distributions of parameters, and correlations of
parameter replicates if applicable. The print method displays the same
results as
print.resamp
, plus these quantities.
summary.bootstrap(object, probs=c(0.025, 0.05, 0.95, 0.975), frame.eval.jack=sys.parent(1),...)
bootstrap
.
z0
,
acceleration
, and
group.size
to pass
to
limits.bca
.
jackknife
when calculating BCa intervals.
By default, the frame from which
summary.bca
was called. This is where
S-PLUS will look for the data used to construct the bootstrap object.
object
(
call
,
B
,
observed
,
estimate
), plus the empirical percentiles
limits.emp
, the
BCa confidence intervals
limits.bca
,
and (if
observed
has more than one element)
the correlation matrix
correlation
for the bootstrap replicates.
The print method
print.summary.bootstrap
will print the results in a nicely
formatted manner.
summary(bootstrap(stack.loss, var))