predict function

Dear Roft and Andy,
If you know what you're looking for, you can always get to non-exported
function by using :::, e.g., modreg:::predict.loess will give you the
function.
and getS3method("predict", "loess") or getAnywhere("predict.loess") will 
retrieve the function without specifying where it resides.

I'm sure that opinions are divided (and perhaps the current implementation 
could be improved), but I like the namespace mechanism: Namespaces give a 
package author the ability to create objects without (inadvertently) 
shadowing objects of the same names in other packages, and the ability to 
shadow objects intentionally that are (potentially) in locations higher on 
the search path. To my mind, the traditional flat namespace in R was a 
liability.

Regards,
  John
Andy

From: Rolf Turner

Uwe Ligges wrote:

Thomas Jagoe wrote:

I am using R to do a loess normalisation procedure.
    .
    .
    .
However in 1.8.1 all goes well until the last step when I
get an error:
Error: couldn't find function "predict.loess"

Can anyone help ?

Use predict() instead of predict.loess() (the method is hidden in a
namespace, you should use the generic function).

Uwe Ligges
Why are the developers ***DOING*** these things to us?

It used to be so simple and straightforward!  If I wanted to look
at an object, including a function object, I typed its name.  Now
I get hand-cuffed by this ``namespace'' business!  I will wager
Euros to doughnuts that no-one apart from the developers has a clue
what a ``namespace'' is, much less what it is good for.  Whatever
problem ``namespaces'' were introduced to solve, it pales by
comparison with the handicaps they introduce.

It's classic tail-wagging-the-dog syndrome.

When I get errors from R code, which come from within ``system''
functions, it has been my practice to make a local copy (in the
.Globalenv) of the function, stick in calls to browser(), and
thereby track down what's going on/wrong.  This always worked like a
charm. Now if the problem arises within, e.g. predict.loess, I'm
stuffed.

                                      cheers,

                                              Rolf Turner
                                              rolf at math.unb.ca

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John Fox
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email: jfox at mcmaster.ca
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