Thanks to Peter Konings, Peter Ehlers, Marc Schwartz and Peter
Dalgaard my query has been satifactorily addressed.
Govind
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-pr
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' (
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 sectio
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 sim
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,
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 is
6 matches
Mail list logo
