S4 class extending data.frame?
Thanks, Martin. In the short term (a) seems best. In the long
run we may try (c), because there are other things that data.frame
doesn't do that we want it to do (i.e., allow arbitrary objects with
[ methods, print methods, and the same length to be bound together,
rather than being restricted to atomic vectors + Date/factor).
cheers
Ben
Martin Morgan wrote:
Ben, Oleg -- Some solutions, which you've probably already thought of, are (a) move the data.frame into its own slot, instead of extending it, (b) manage the data.frame attributes yourself, or (c) reinvent the data.frame from scratch as a proper S4 class (e.g., extending 'list' with validity constraints on element length and homogeneity of element content). (b) places a lot of dependence on understanding the data.frame implementation, and is probably too tricky (for me) to get right,(c) is probably also tricky, and probably caries significant performance overhead (e.g., object duplication during validity checking). (a) means that you don't get automatic method inheritance. On the plus side, you still get the structure. It is trivial to implement methods like [, [[, etc to dispatch on your object and act on the appropriate slot. And in some sense you now know what methods i.e., those you've implemented, are supported on your object. Oleg, here's my cautionary tale for extending list, where manually subsetting the .Data slot mixes up the names (callNextMethod would have done the right thing, but was not appropriate). This was quite a subtle bug for me, because I hadn't been expecting named lists in my object; the problem surfaced when sapply used the (incorrectly subset) names attribute of the list. My solution in this case was to make sure 'names' were removed from lists used to construct objects. As a consequence I lose a nice little bit of sapply magic.
setClass('A', 'list')
[1] "A"
setMethod('[', 'A', function(x, i, j, ..., drop=TRUE) {
+ x at .Data <- x at .Data[i] + x + }) [1] "["
names(new('A', list(x=1, y=2))[2])
[1] "x" Martin Oleg Sklyar <osklyar at ebi.ac.uk> writes:
I had the same problem. Generally data.frame's behave like lists, but while you can extend list, there are problems extending a data.frame class. This comes down to the internal representation of the object I guess. Vectors, including list, contain their information in a (hidden) slot .Data (see the example below). data.frame's do not seem to follow this convention. Any idea how to go around? The following example is exactly the same as Ben's for a data.frame, but using a list. It works fine and one can see that the list structure is stored in .Data * ~: R R version 2.6.1 (2007-11-26)
setClass("c3",representation(comment="character"),contains="list")
[1] "c3"
l = list(1:3,2:4)
z3 = new("c3",l,comment="hello")
z3
An object of class ?c3? [[1]] [1] 1 2 3 [[2]] [1] 2 3 4 Slot "comment": [1] "hello"
z3 at .Data
[[1]] [1] 1 2 3 [[2]] [1] 2 3 4 Regards, Oleg On Thu, 2007-12-13 at 00:04 -0500, Ben Bolker wrote:
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I would like to build an S4 class that extends
a data frame, but includes several more slots.
Here's an example using integer as the base
class instead:
setClass("c1",representation(comment="character"),contains="integer")
z1 = new("c1",55,comment="hello")
z1
z1+10
z1[1]
z1 at comment
-- in other words, it behaves exactly as an integer
for access and operations but happens to have another slot.
If I do this with a data frame instead, it doesn't seem to work
at all.
setClass("c2",representation(comment="character"),contains="data.frame")
d = data.frame(1:3,2:4)
z2 = new("c2",d,comment="goodbye")
z2 ## data all gone!!
z2[,1] ## Error ... object is not subsettable
z2 at comment ## still there
I can achieve approximately the same effect by
adding attributes, but I was hoping for the structure
of S4 classes ...
Programming with Data and the R Language Definition
contain 2 references each to data frames, and neither of
them has allowed me to figure out this behavior.
(While I'm at it: it would be wonderful to have
a "rich data frame" that could include as a column
any object that had an appropriate length and
[ method ... has anyone done anything in this direction?
?data.frame says the allowable types are
"(numeric, logical, factor and character and so on)",
but I'm having trouble sorting out what the limitations
are ...)
hoping for enlightenment (it would be lovely to be
shown how to make this work, but a definitive statement
that it is impossible would be useful too).
cheers
Ben Bolker
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-- Dr Oleg Sklyar * EBI-EMBL, Cambridge CB10 1SD, UK * +44-1223-494466
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
-- Martin Morgan Computational Biology / Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109 Location: Arnold Building M2 B169 Phone: (206) 667-2793
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