Hello all, I just upgraded to R 2.7.0 and found that the behavior of 'var' and 'sd' have changed in the presence NAs (this wasn't explicit in the NEWS file, though I see it probably has to do with the change for cor/cov). Anyway, I just want to make sure that it was intentional to produce an error when there was all NAs and na.rm=TRUE, rather than returning an NA (like R 2.6.2), or NaN (like the function 'mean' does). That is, isn't the purpose of 'na.rm=TRUE' to, in part, suppress these error messages.
Specifically, > var(c(NA, NA, NA), na.rm=TRUE) # R2.6.2 [1] NA > var(c(NA, NA, NA), na.rm=TRUE) # R2.7.0 Error during wrapup: no complete observations in cov/cor I think I can get the old behavior by setting use='p', but the 'sd' function does not have a 'use' argument and I'd like not to get an error here. Anyway, I'm a fan of the old behavior (not producing an error), but if there was a reason to change this when na.rm=TRUE, I would request that the 'sd' function be updated to be able to revert to the old behavior as well. FYI: I 'apply' these functions to large matrices of stock return time series with missing values, and don't want the whole calculation to fail just because I'm missing stock returns for one company. Thanks, Robert Robert McGehee, CFA Geode Capital Management, LLC One Post Office Square, 28th Floor | Boston, MA | 02109 Tel: 617/392-8396 Fax:617/476-6389 mailto:[EMAIL PROTECTED] This e-mail, and any attachments hereto, are intended fo...{{dropped:11}} ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
