FYI, there is an isZero() in the R.utils package that allows you to specify the precision. It looks like this:
isZero <- function (x, neps=1, eps=.Machine$double.eps, ...) { (abs(x) < neps*eps); } /Henrik On Wed, Aug 13, 2008 at 8:23 AM, Roland Rau <[EMAIL PROTECTED]> wrote: > Hi, > > since many suggestions are following the form of > x[x==0] (or similar) > I would like to ask if this is really recommended? > What I have learned (the hard way) is that one should not test for equality > of floating point numbers (which is the default for R's numeric values, > right?) since the binary representation of these (decimal) floating point > numbers is not necessarily exact (with the classic example of decimal 0.1). > Is it okay in this case for the value zero where all binary elements are > zero? Or does R somehow recognize that it is an integer? > > Just some questions out of curiosity. > > Thank you, > Roland > > > rcoder wrote: >> >> Hi everyone, >> >> I have a matrix that has a combination of zeros and NAs. When I perform >> certain calculations on the matrix, the zeros generate "Inf" values. Is >> there a way to either convert the zeros in the matrix to NAs, or only >> perform the calculations if not zero (i.e. like using something similar to >> an !all(is.na() construct)? >> >> Thanks, >> >> rcoder > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.