Dear Eric,
Have you looked at your data? -- for example:
plot(log(Moons) ~ Volume, data = moon_data)
text(log(Moons) ~ Volume, data = moon_data, labels=Name, adj=1, subset
= Volume > 400)
The negative-binomial model doesn't look reasonable, does it?
After you eliminate Jupiter
Hi Eric,
When I run your code (using the MASS library) I find that
rstudent(fit2) also returns NaN in the seventh position. Perhaps the
problem is occurring there and not in the "influence" function.
Jim
On Wed, Apr 3, 2019 at 9:12 AM Eric Bridgeford wrote:
>
> I agree the influence documentatio
I agree the influence documentation suggests NaNs may result; however, as
these can be manually computed and are, indeed, finite/existing (ie,
computing the held-out influence by manually training n models for n points
to obtain n leave one out influence measures), I don't possibly see how the
func
How can I add attachments? The following two files were attached in the
initial message
On Tue, Apr 2, 2019 at 3:34 PM Bert Gunter wrote:
> Nothing was attached. The r-help server strips most attachments. Include
> your code inline.
>
> Also note that
>
> > 0/0
> [1] NaN
>
> so maybe something l
I am relatively new to analyzing financial data but have some experience with
R. I understand that the data available from Yahoo Finance via its API is often
questionable in quality and Google Finance is no longer available.
Although Googling pointed me to some other sources such as Quandl etc.,
Also, I suggest you read ?influence which may explain the source of your
NaN's .
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Apr 2, 2019 at 1:29 PM Ber
I told you already: **Include code inline **
See ?dput for how to include a text version of objects, such as data
frames, inline.
Otherwise, I believe .txt text files are not stripped if you insist on
*attaching* data or code. Others may have better advice.
Bert Gunter
"The trouble with having
Nothing was attached. The r-help server strips most attachments. Include
your code inline.
Also note that
> 0/0
[1] NaN
so maybe something like that occurs in the course of your calculations. But
that's just a guess, so feel free to disregard.
Bert Gunter
"The trouble with having an open mind
Hi R core team,
I experienced the following issue with the attached data/code snippet,
where the studentized residual for a single observation appears to be NaN
given finite predictors/responses, which appears to be driven by the
glm.influence method in the stats package. I am curious to whether t
Thank you Stephen and Peter for your code and your answers!
Stephen, your NaN explanation makes sense - thank you for putting it so clearly.
Cheers,
Jenny
On Tue, Apr 2, 2019 11:10 AM, peter dalgaard pda...@gmail.com wrote:
>> My questions:1) Why is there a "-" instead of a numerical result
>> My questions:1) Why is there a "-" instead of a numerical result for pairs
>> 1-2,
>> 1-16, and 2-16?
>
> When the difference between the pair is zero, the p.value is NaN (not a
> number).
>
Not quite: When both groups have 0 successes (or both 0 failures), the test
stat has a divide-by-ze
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