`plot.fwb()`

takes an `fwb`

object and produces plots for the bootstrap replicates of the statistic of interest.

## Arguments

- x
an

`fwb`

object; the output of a call to`fwb()`

.- index
the index of the position of the quantity of interest in

`x$t0`

if more than one was specified in`fwb()`

. Only one value is allowed at a time. By default the first statistic is used.- qdist
`character`

; when a Q-Q plot is requested (as it is by default; see`type`

argument below), the distribution against which the Q-Q plot should be drawn. Allowable options include`"norm"`

(normal distribution - the default) and`"chisq"`

(chi-squared distribution).- nclass
when a histogram is requested (as it is by default; see

`type`

argument below), the number of classes to be used. The default is the integer between 10 and 100 closest to`ceiling(length(R)/25)`

where`R`

is the number of bootstrap replicates.- df
if

`qdist`

is`"chisq"`

, the degrees of freedom for the chi-squared distribution to be used. If not supplied, the degrees of freedom will be estimated using maximum likelihood.- type
the type of plot to display. Allowable options include

`"hist"`

for a histogram of the bootstrap estimates and`"qq"`

for a Q-Q plot of the estimates against the distribution supplied to`qdist`

.- ...
ignored.

## Details

This function can produces two side-by-side plots: a histogram of the bootstrap replicates and a Q-Q plot of the bootstrap replicates against theoretical quantiles of a supplied distribution (normal or chi-squared). For the histogram, a vertical dotted line indicates the position of the estimate computed in the original sample. For the Q-Q plot, the expected line is plotted.