dplot

the statistic distribution, as generated by 
<code><a rd-options="" href="/link/Rsampling?package=Rsampling&version=0.1.1" data-mini-rdoc="Rsampling::Rsampling">Rsampling</a></code> (numeric vector)

dist

the result of applying the statistic over the original data

svalue

the alternative hypothesis for the hypothesis testing

pside

logical. should extreme points be highlighted in the plot?

extreme

logical. should the svalue be displayed as a vertical line?

vline

logical. should the critical region be highlighted?

rejection

further arguments to be passed to <code>hist</code> function.


Plots the distribution of the statistic of interest. Has switches to 
plot the extreme values and
null hypothesis rejection region (also known as critical region).


Resampling Stats (http://www.resample.com) is an add-in for
running randomization tests in Excel worksheets. The workflow is (1) to define
a statistic of interest that can be calculated from a data table, (2) to
randomize rows ad/or columns of a data table to simulate a null hypothesis
and (3) and to score the value of the statistic from many randomizations. The
relative frequency distribution of the statistic in the simulations is then
used to infer the probability of the observed value be generated by the null
process (probability of Type I error). This package intends to translate this
logic for R for teaching purposes. Keeping the original workflow is favored over
performance.

Paulo I Prado

Rsampling

Ports the Workflow of "Resampling Stats" Add-in to R

dplot function

the statistic distribution, as generated by 
<code><a rd-options='' href='Rsampling'>Rsampling</a></code> (numeric vector)

dplot: Statistic distribution plot

Description

Usage

Arguments

See Also