Hi, The hint to use an lm0 instance in the protopy is a solution.
But I thought about a different solution to which I got used. This is to declare class "lm" as an S4 class by setClass("lm"). This is because I have to do it anyway quite frequently when using S3 classes, declared in contributed packages, in S4 classes.
Please consider the following code with this quite recent version generating a warning.
R : Copyright 2004, The R Foundation for Statistical Computing
Version 2.0.0 beta (2004-09-20), ISBN 3-900051-07-0
#I like to have an object which contains an object of class fields:Krig.
library(fields)
setClass("Ctest"
,representation(
test="character"
,bla="character"
,mod="Krig"
)
)#Warning message: #Undefined slot classes in definition of "Ctest": mod (class " Krig ") in: .completeClassSlots(ClassDef, where)
The overcome this warning i just modify the code adding
setClass("Krig")
setClass("Ctest"
,representation(
....previous to defining class Ctest.
This is my working solution. But this one does not work with class "lm". Since,
> setClass("lm")
Error in setClass("lm") : "lm" has a sealed class definition and cannot be redefined
I understand the errror message but I can't see the difference between class Krig and lm which are both S3 classes. (of course except that lm is in in THE stats package)
Is it intended to keep two different "models" of treating S3 classes? One for S3 class from the recomended, "base" packages and a different one for S3 classes from contributed packages? I assume not.
If, so I feel a alienated because my code so far rely on the behaviour which I observed for S3/contributed classes.
/E,
John Chambers wrote:
Wolski wrote:
Hi! Consider this code.
setClass("Ctest" ,representation( test="character" ,bla="character" ,mod="lm" ) )
new("Ctest",test="bla") #This produces an error.
#Error in validObject(.Object) : Invalid "Ctest" object: Invalid object for slot "mod" in class "Ctest": got class "NULL", should be or extend class "lm"
And the error message is correct. Since "lm" is an S3 class, there is no way to generate an object automatically from it. new("lm") will also produce an error.
If you want objects to be generated from your class with a default "lm" object, you have to first decide what that is. Assuming you know, you need to either put that element into the protoype for the class, or have a method for initialize() that does something sensible, using the rest of the data in the object.
The prototype solution could look something like:
R> lm0 = lm(1~1)
R> setClass("Ctest", representation(test = "character", bla = "character", mod = "lm"), prototype=prototype(mod = lm0))
R> new("Ctest", test="bla")
An object of class "Ctest"
Slot "test":
[1] "bla"
Slot "bla": character(0)
Slot "mod":
Call: lm(formula = 1 ~ 1)
Coefficients:
(Intercept) 1
There is no automatic relation between the class "lm" and the function lm(). The green book recommends having a generator function, but the R code can't assume this has been done.
setClass("Ctest" ,representation( test="character" ,bla="character" ,mod="character" # its the only with the class definition above. ) ) new("Ctest",test="bla") #this works as I would expect.
#An object of class "Ctest" #Slot "test": #[1] "bla" # #Slot "bla": #character(0) # #Slot "mod": #character(0)
Thought that this is due to that the class lm has no lm(0) object. Hence i tried
setClass("brum",representation(brum="brum")) setClass("Ctest" ,representation( test="character" ,bla="character" ,mod="brum" # its the only with the class definition above. ) )
new("Ctest",test="best") #but this works to.
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