These functions are used by the Jackknife dialog.
menuJackknife calls
tabSummary.jackknife
and/or
tabPlot.jackknife if summary and/or
plotting are requested.
data to be jackknifed. May be a vector, matrix, or data frame.
statistic
statistic to be jackknifed. It may be a function which accepts data
as the first argument and returns a vector or matrix, or a call
referring to the data which evaluates to a vector or matrix.
If it is an expression and the data argument is the name
of an object, then the object should also be referred to by name in
the expression. If the data are constructed within the call to
jackknife, then data should be referred to as data in the expression.
(See examples for
jackknife and
bootstrap.)
jack.obj
an object of class
jackknife
OPTIONAL ARGUMENTS:
assign.frame1
logical flag indicating whether the resampled data should be assigned
to frame 1 before evaluating the statistic. This may be necessary if
the statistic is reevaluating the call of a model object. If all
bootstrap estimates are identical, try setting
assign.frame1=T. Note
that this will slow down the algorithm.
probs
probability levels at which to calculate percentiles of confidence intervals.
print.short.p
logical flag indicating whether to print basic summary statistics.
print.emp.p
logical flag indicating whether to print empirical percentiles.
print.cor.p
logical flag indicating whether to print correlation matrix of statistic if
statistic is a vector.
plot.p
logical flag indicating whether to plot the replicates with
plot.resamp.
plotQQ.p
logical flag indicating whether to plot a QQ-plot of the replicates
with
qqnorm.resamp.
...
other arguments to pass to the
jackknife function.
VALUE:
menuJackknife returns an object of class
jackknife. See the
jackknife
help files for details.
tabSummary.jackknife and
tabPlot.jackknife return
the
jack.obj.