Charles Van deZande wrote:
Thanks Peter,
There are 8 measurements less than 8.5, so calculating the probability (binomial) of 8, or fewer, happening by chance with n = 20 and p = 0.50 gives P = 0.25-- the book answer. I've tried several problems in other textbooks and in each case I get vastly different P-values than I get with wilcox.test or wilcox.exact.

Ah, but that is NOT a signed-rank test, just a sign test. (Using the former as a test of the median is BTW not really a good idea unless you assume symmetry of the distribution.)

It is also still a one-sided test, with two tails you get

> binom.test(8,20)

        Exact binomial test

data:  8 and 20
number of successes = 8, number of trials = 20, p-value = 0.5034
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
 0.1911901 0.6394574
sample estimates:
probability of success
                   0.4

(and that is disregarding that one observation is exactly 8.5, so you should really look at 7 in 19 rather than 8 in 20.)


However, upon further testing, I've found good agreement when the calculated P-values are small, but disagreement when P-values are large. This might mean a problem with wilcox.test and wilcox.exact when P-values are large or I might be misinterpreting something.

You need to read some more theory.

The extreme cases (all signs equal) are equally unlikely for the sign test and the signed-rank test.



CHV
  
Charles H Van deZande
/-------Original Message-------/
/*From:*/ Peter Dalgaard <mailto:p.dalga...@biostat.ku.dk>
/*Date:*/ 5/19/2009 5:35:07 AM
/*To:*/ cvandy <mailto:cvand...@gmail.com>
/*Cc:*/ r-help@r-project.org <mailto:r-help@r-project.org>
/*Subject:*/ Re: [R] Wilcoxon nonparametric p-values
cvandy wrote:
 > 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.
wilcox.exact (from exactRankTests) gives > wilcox.exact(x - 8.5) Exact Wilcoxon signed rank test data: x - 8.5
V = 80.5, p-value = 0.5748
so I'd suspect the textbook. One-sided p-value perhaps? or table
limitation (as in "p > .25"). If you want to dig deeper, you'll probably
have to check the computations implied by the text.
> 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
 >
 >
 >
 >
 >
 >  
--
    O__  ---- Peter Dalgaard             Øster Farimagsgade 5, Entr.B
   c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
  (*) \(*) -- University of Copenhagen   Denmark      Ph:  (+45) 35327918
~~~~~~~~~~ - (p.dalga...@biostat.ku.dk <mailto:p.dalga...@biostat.ku.dk>) FAX: (+45) 35327907
        



--
   O__  ---- Peter Dalgaard             Øster Farimagsgade 5, Entr.B
  c/ /'_ --- Dept. of Biostatistics     PO Box 2099, 1014 Cph. K
 (*) \(*) -- University of Copenhagen   Denmark      Ph:  (+45) 35327918
~~~~~~~~~~ - (p.dalga...@biostat.ku.dk)              FAX: (+45) 35327907

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