print.resample

0th

Percentile

Methods for common generic functions for resample objects

Methods for common generic functions. The methods operate primarily on the replicates (resampled statistics).

Keywords
htest, nonparametric
Usage
"print"(x, ...) "hist"(x, ..., resampleColumns = 1:x$p, xlim = NULL, xlab = NULL, main = "", col = "blue", border = 0, breaks = "FD", showObserved = TRUE, legend = TRUE, args.legend = NULL) "plot"(x, ...) "qqnorm"(y, ..., resampleColumns = 1:y$p, ylab = NULL, pch = if(y$R < 100) 1 else ".") "quantile"(x, ...)
Arguments
x,y
a "resample" object, usually produced by one of bootstrap, bootstrap2, permutationTest, or permutationTest2.
...
additional arguments passed to the corresponding generic function. For plot.resample, these are passed to hist.resample.
resampleColumns
integer subscripts, or names of statistics. When a statistic is a vector, resampleColumns may be used to select which resampling distributions to plot.
xlim
limits for the x axis.
xlab, ylab
x and y axis labels.
main
main title
col
color used to fill bars, see hist.
border
color of the order around the bars, see hist.
breaks
method for computing breaks, see hist.
showObserved
logical, if TRUE then vertical lines are shown at the observed statistic and mean of the bootstrap replicates.
legend
logical, if TRUE a legend is added. Not used if showObserved = FALSE.
args.legend
NULL or a list of arguments to pass to legend.
pch
plotting character, see par.
Details

hist.resample displays a histogram overlaid with a density plot, with the observed value of the statistic indicated.

plot.resample currently just calls hist.resample.

Value

For quantile.resample, a matrix with one row for each statistic and one column for each value in probs. This uses type=6 when calling quantile, for wider (more accurate) quantiles than the usual default.The other functions are not called for their return values.

See Also

resample-package, bootstrap, bootstrap2, jackknife, permutationTest, permutationTest2, quantile.

Aliases
  • plot.resample
  • hist.resample
  • qqnorm.resample
  • print.resample
  • quantile.resample
Examples
## Not run: 
# # See full set of examples in resample-package
# data(Verizon)
# CLEC <- with(Verizon, Time[Group == "CLEC"])
# bootC <- bootstrap(CLEC, mean, seed = 0)
# print(bootC)
# hist(bootC)
# qqnorm(bootC)
# quantile(bootC, probs = c(.25, .975))
# # That is the percentile interval with expand = FALSE
# CI.percentile(bootC)
# ## End(Not run)
Documentation reproduced from package resample, version 0.4, License: BSD_3_clause + file LICENSE

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