print.resample
From resample v0.4
by Tim Hesterberg
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 ofbootstrap
,bootstrap2
,permutationTest
, orpermutationTest2
.  ...

additional arguments passed to the corresponding generic function.
For
plot.resample
, these are passed tohist.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 ifshowObserved = FALSE
.  args.legend

NULL
or a list of arguments to pass tolegend
.  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
resamplepackage
,
bootstrap
,
bootstrap2
,
jackknife
,
permutationTest
,
permutationTest2
,
quantile
.
Examples
## Not run:
# # See full set of examples in resamplepackage
# 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)
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