until last week, what as.numeric(POSIXct)
> would give).
>
> Bill Dunlap
> Spotfire, TIBCO Software
> wdunlap tibco.com
>
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf
> > Of Gene Ley
.@r-project.org] On
> Behalf
> Of Gene Leynes
> Sent: Monday, April 16, 2012 12:42 AM
> To: peter dalgaard
> Cc: r-help
> Subject: Re: [R] Seemingly simple "lm" giving unexpected results
>
> Peter,
>
> This is exactly the answer I was wanted.
>
> 1) I was
Peter,
This is exactly the answer I was wanted.
1) I was a little fuzzy on how the qr decomposition was creating the "error"
2) I wanted to know if it was possible to just change a setting to get
around the "error". Changing the tol in lm makes a lot more sense to me
than changing the global eps
On 14-04-2012, at 21:45, peter dalgaard wrote:
>
> On Apr 14, 2012, at 14:40 , Berend Hasselman wrote:
>
>>
>> On 13-04-2012, at 22:20, Gene Leynes wrote:
>>
>>> I can't figure out why this is returning an NA for the slope in one case,
>>> but not in the other.
>>>
>>> I can tell that R thin
On Apr 14, 2012, at 14:40 , Berend Hasselman wrote:
>
> On 13-04-2012, at 22:20, Gene Leynes wrote:
>
>> I can't figure out why this is returning an NA for the slope in one case,
>> but not in the other.
>>
>> I can tell that R thinks the first case is singular, but why isn't the
>> second?
>>
Thank you Berend and Mark,
It seems pretty clear, the problem is with the numbers and not with R.
Intuitively, I didn't think that regressing on Y on X would give different
results than regressing Y on X - C (where C is a constant). So, I thought
that R was doing something strange with rounding.
On 13-04-2012, at 22:20, Gene Leynes wrote:
> I can't figure out why this is returning an NA for the slope in one case,
> but not in the other.
>
> I can tell that R thinks the first case is singular, but why isn't the
> second?
>
> ## Define X and Y
> ## There are two versions of x
> ## 1)
I can't figure out why this is returning an NA for the slope in one case,
but not in the other.
I can tell that R thinks the first case is singular, but why isn't the
second?
## Define X and Y
## There are two versions of x
## 1) "as is"
## 2) shifted to start at 0
y = c(58, 57, 57, 279,
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