Thanks to Peter Konings, Peter Ehlers, Marc Schwartz and Peter
Dalgaard my query has been satifactorily addressed.
Govind
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Hi,
I find that the p-value printed out by wilcox.test() and the p-value
stored in the p.value attribute in the object returned by
wilcox.test() are not the same. There seems to be a lower limit of
2.2e-16 for the printed value although it does say that it is less
than that. What I want to know
On 2010-07-14 3:53, Govind Chandra wrote:
Hi,
I find that the p-value printed out by wilcox.test() and the p-value
stored in the p.value attribute in the object returned by
wilcox.test() are not the same. There seems to be a lower limit of
2.2e-16 for the printed value although it does say that
Hi Peter,
Thanks for your response. Yes, I am interested in P-values smaller
than 1e-16. Below a certain value they may not tell much about
significance but are useful for ordering (ranking), for example,
differentially expressed genes in microarray data. Something similar
is done by sequence
You need to understand the difference between how a value is stored in an R
object with full floating point precision versus how a value in R is displayed
(printed) in the console with a print method.
In this case, wilcox.test() returns an object of class 'htest' (as noted in the
Value section
Marc Schwartz wrote:
You need to understand the difference between how a value is stored
in an R object with full floating point precision versus how a value
in R is displayed (printed) in the console with a print method.
In this case, wilcox.test() returns an object of class 'htest' (as
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