[R] in cor.test, difference between exact=FALSE and exact=NULL
Peter Dalgaard
p.dalgaard at biostat.ku.dk
Sat Sep 1 16:03:14 CEST 2007
Andrew Yee wrote:
> Thanks for the clarification. I should have recognized the difference
> between "warning" and "error."
> But if I may take this a step further, shouldn't it then be exact=TRUE
> instead of exact=NULL?
> Thanks,
> Andrew
>
Nope. The two are equivalent for the Spearman test, but not for
Kendall's tau. The login in that case is that NULL implies exact
testing if n < 50 and asymptotic otherwise. TRUE and FALSE enforces one
or the other (if possible).
> On 8/31/07, Peter Dalgaard <P.Dalgaard at biostat.ku.dk> wrote:
>
>> Andrew Yee wrote:
>>
>>> Pardon my ignorance, but is there a difference in cor.test between
>>> exact=FALSE and exact=NULL when method=spearman?
>>>
>>> Take for example:
>>>
>>> x<-c(1,2,2,3,4,5)
>>> y<-c(1,2,2,10,11,12)
>>> cor.test(x,y, method="spearman", exact=NULL)
>>>
>>> This gives an error message,
>>> Warning message: Cannot compute exact p-values with ties in:
>>> cor.test.default(x, y, method = "spearman", exact = NULL)
>>>
>>> However, when exact is changed to FALSE, this seems to run okay.
>>>
>>> cor.test(x,y, method="spearman", exact=FALSE)
>>>
>>> Question: should this be exact = FALSE in the documentation and/or the
>>>
>> code?
>>
>>>
>> No. The default is indeed NULL.
>>
>> This implies that calculation of exact p-values will be attempted, and
>> when there are ties you get a warning (NB: not error) message. Setting
>> exact=FALSE, no attempt is made and no warning is given.
>>
>>> Thanks,
>>> Andrew
>>> MGH Cancer Center
>>>
>>> ______________________________________________
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>>>
>>
>> --
>> 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.dalgaard at biostat.ku.dk) FAX: (+45)
>> 35327907
>>
>>
>>
>>
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--
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.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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