[R] Wilcoxon nonparametric p-values

[cvandy]

When I use wilcox.test, I get vastly different p-values than the problems
from Statistics textbooks.
For example:
The following problem comes from "Applied Statistics and Probability for
Engineers", 2nd Edition, by D. C. Montgomery.  Page736, problem 14.7.  The
problem is to compare the sample data with a population median of 8.5.  The
book answer is p = 0.25, wilcox.test answer is p = 0.573.
I've tried several other similar problems with similar results.  I've copied
the following directly from my workspace.
Thanks for any help,
CHV
> x<-c(8.32,8.05,
> 8.93,8.65,8.25,8.46,8.52,8.35,8.36,8.41,8.42,8.30,8.71,8.75,8.6,8.83,8.5,8.38,8.29,8.46)
> wilcox.test(x,y=NULL,mu=8.5)
        Wilcoxon signed rank test with continuity correction
 data:  x 
V = 80.5, p-value = 0.573
alternative hypothesis: true location is not equal to 8.5 
 
Warning messages:
1: In wilcox.test.default(x, y = NULL, mu = 8.5) :
  cannot compute exact p-value with ties
2: In wilcox.test.default(x, y = NULL, mu = 8.5) :
  cannot compute exact p-value with zeroes
> 
  
Charles H Van deZande
 




 
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