On Tue, Aug 28, 2012 at 7:34 PM, Duncan Murdoch <murdoch.dun...@gmail.com> wrote: > Assign a class to the object, and write a print method for it. > > For example, this doesn't quite do what you want, but it's a start: > > print.noattributes <- function(x, ...) { > attributes(x) <- NULL > print(x) > } > > class(x) <- "noattributes" > x > > It loses some attributes that you probably want to keep (e.g. the names), > but otherwise works on your example. > I've already tried this solution but that's exactly the trouble with this approach. Do this on a data.frame and loses important information.
I came up with a modified version of the above: print_noattr <- function(x, keep.some=T, ...){ if(keep.some) xa <- attributes(x)[c('names', 'row.names', 'class')] attributes(x) <- NULL if(keep.some) attributes(x) <- xa print(x) } > x <- dlply(iris, .(Species), function(x) describe(x[, 'Sepal.Length'])) > print_noattr(x) $setosa x[, "Sepal.Length"] n missing unique Mean .05 .10 .25 .50 .75 50 0 15 5.006 4.40 4.59 4.80 5.00 5.20 .90 .95 5.41 5.61 4.3 4.4 4.5 4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4 5.5 5.7 5.8 Frequency 1 3 1 4 2 5 4 8 8 3 1 5 2 2 1 % 2 6 2 8 4 10 8 16 16 6 2 10 4 4 2 $versicolor x[, "Sepal.Length"] n missing unique Mean .05 .10 .25 .50 .75 50 0 21 5.936 5.045 5.380 5.600 5.900 6.300 .90 .95 6.700 6.755 lowest : 4.9 5.0 5.1 5.2 5.4, highest: 6.6 6.7 6.8 6.9 7.0 $virginica x[, "Sepal.Length"] n missing unique Mean .05 .10 .25 .50 .75 50 0 21 6.588 5.745 5.800 6.225 6.500 6.900 .90 .95 7.610 7.700 lowest : 4.9 5.6 5.7 5.8 5.9, highest: 7.3 7.4 7.6 7.7 7.9 However this still feels like a hack, and the function should be modified if the object in question contains some other crucial attributes. On Tue, Aug 28, 2012 at 7:44 PM, Peter Ehlers <ehl...@ucalgary.ca> wrote: > It seems that class "listof" also works: > > class(x) <- "listof" > x > This works great. Thanks. Liviu ______________________________________________ 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.