[EMAIL PROTECTED] writes: > R-1.8.0 seems to calculate wrong covariances, when the argument of cov() > is a matrix or a data frame. > The following should produce a matrix of zeroes and NaNs: ... > Under 1.9.1 (Linux) and 1.9.0 (Windows) i get the expected matrix of > zeroes and NaNs. > > This example is not very special. Under R-1.8.0 cov produced wrong result > for any random matrix i tried.
Presumably, this is the same as PR#4646. > Doesn't this mean, that *any* result obtained under R 1.8.0 is unreliable? It means that covariances and correlations are sometimes computed incorrectly. > By the way, i just recompiled R-1.8.0 from source under Linux and tried > 'make check'. All tests were ok. Yes. We don't release versions that don't pass their own tests. > Does there exist a more detailed set of tests, which could insure that > at least the most basic R functions work correctly? We add regression tests as we discover and fix bugs. We can't fix old versions retroactively though, we release patch versions (e.g. 1.8.1) instead. -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html