On Tue, Jun 7, 2011 at 7:30 AM, Joris Meys wrote:
> On Mon, Jun 6, 2011 at 9:15 PM, peter dalgaard wrote:
>>
>> I'd say that the burden of proof is really on your side, but how hard can it
>> be:
>>
>>> x <- 1:10
>>> y <- rnorm(10)
>>> m <- lm(y~x)
>>> m$call
>> lm(formula = y ~ x)
>>> m$call$da
On Mon, Jun 6, 2011 at 9:15 PM, peter dalgaard wrote:
>
> I'd say that the burden of proof is really on your side, but how hard can it
> be:
>
>> x <- 1:10
>> y <- rnorm(10)
>> m <- lm(y~x)
>> m$call
> lm(formula = y ~ x)
>> m$call$data
> NULL
>
I see... indeed, thx for the answer and sorry for m
On Jun 6, 2011, at 20:38 , Joris Meys wrote:
> On Mon, Jun 6, 2011 at 6:29 PM, peter dalgaard wrote:
>>
>> On Jun 6, 2011, at 17:15 , Joris Meys wrote:
>>
> **snip**
>>> If nothing is found, an error is returned. If
>>> anything is found, data won't be NULL, so line 20, when reached, will
>>>
On Mon, Jun 6, 2011 at 6:29 PM, peter dalgaard wrote:
>
> On Jun 6, 2011, at 17:15 , Joris Meys wrote:
>
**snip**
>> If nothing is found, an error is returned. If
>> anything is found, data won't be NULL, so line 20, when reached, will
>> always return FALSE. Can it be that lines 18 and 19 should
On Jun 6, 2011, at 17:15 , Joris Meys wrote:
> Hi all,
>
> I noticed some very odd behaviour in the termplot function of the
> stats package due to the following lines :
>
> 18.if (is.null(data))
> 19. data <- eval(model$call$data, envir)
>
> This one will look in the global environm
Hi all,
I noticed some very odd behaviour in the termplot function of the
stats package due to the following lines :
18.if (is.null(data))
19. data <- eval(model$call$data, envir)
This one will look in the global environment, and renders the two
lines after this
20. if (is.null(data
