> In the example I give above, the impact might seem small, but the > implications are *huge*. This means that I am, in effect, not allowed to > use *any* of the vectoring functions in 'R', which avoid performing loops > thereby speeding up process time extraordinarily. Many can sympathize that > 'R' is ridiculously slow with "for" loops, compared to other languages. > But that's theoretically OK, a good statistician or data analyst should be > able to work comfortably with matrices and vectors.
Two comments: * sapply is generally only _slightly_ faster than a for loop * it's almost always better to use vapply instead of sapply. But I agree that simplify2array should be a generic so that you can write custom methods to support new classes. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______________________________________________ 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.
