plot.permtstBurSt {BurStMisc}  R Documentation 
Shows the distribution of the scores of the random permutations relative to the score from the actual data.
## S3 method for class 'permtstBurSt'
plot(x, col = c("black", "red"), width = 10,
uniqlim = 10, main = "", xlab = "Scores", ...)
x 
an object of class

col 
the colors to use in the plot – mainly for the bartype plot when there are only a few scores in the permutation distribution. The first color is the one used for the insignificant part of the distribution, the second color is for the significant part of the distribution. The second color is used to identify the original score when a histogram is used. 
width 
the width of the bars. 
uniqlim 
the value that determines which type of plot to use.
If the number of unique values in the scores from the permutations
is bigger than 
main 
character string giving the main title for the plot. 
xlab 
character string giving the label for the xaxis. 
... 
additional graphics parameters may be given. 
a plot is produced.
Two styles of plot are possible.
A histogram is more appropriate when there are more than a few
values in the permutation distribution.
When there are only a few distinct values,
then a bartype plot is more informative.
The uniqlim
argument controls the definition of "a few".
These functions are related to "Permuting Super Bowl Theory" which can be found in the working papers section of http://www.burnsstat.com. The paper explains permutation tests via a discussion of the Super Bowl indicator of the stock market.
## Not run:
pt1 < permutation.test.discrete(winner, market, smat)
plot(pt1, col=c("blue", "gold"))
## End(Not run)