Summary Method for Bootstrap Objects

DESCRIPTION:

Produces a summary for 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.

USAGE:

summary.bootstrap(object, probs=c(0.025, 0.05, 0.95, 0.975),  
                  frame.eval.jack=sys.parent(1),...) 

REQUIRED ARGUMENTS:

object
object of class bootstrap.

OPTIONAL ARGUMENTS:

probs
probability levels at which to calculate percentiles and confidence limits.
...
optional arguments such as z0, acceleration, and group.size to pass to limits.bca.
frame.eval.jack
frame in which to evaluate 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.

VALUE:

a list containing selected components of 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.

DETAILS:

The print method print.summary.bootstrap will print the results in a nicely formatted manner.

SEE ALSO:

, , , , .

EXAMPLES:

summary(bootstrap(stack.loss, var))