Without knowing the seed used it is impossible for us to reproduce this, but I am not seeing anything strange.
Could you please reply with a reproducible example (and list the data used too, in case the random number generation is the issue). On Wed, 22 Oct 2003 [EMAIL PROTECTED] wrote: > Full_Name: Ian Wilson > Version: R-1.8.0 > OS: Windows (but own compilation) > Submission from: (NULL) (139.133.7.38) > > > > the p-value is incorrect for cor.test using method "spearman" in R-1.8.0. This > was not the case in R-1.7.1. > > Version R-1.8.0 on Windows > > > cor.test(rnorm(50),rnorm(50),method="spearman") > > Spearman's rank correlation rho > > data: rnorm(50) and rnorm(50) > S = 20486, p-value = < 2.2e-16 > alternative hypothesis: true rho is not equal to 0 > sample estimates: > rho > 0.01627851 > > > cor.test(rnorm(50),rnorm(50),method="spearman") > > Spearman's rank correlation rho > > data: rnorm(50) and rnorm(50) > S = 22006, p-value = 1 > alternative hypothesis: true rho is not equal to 0 > sample estimates: > rho > -0.05671068 > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-devel > > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-devel