Your example code refers to a variable which is not in your dataset
(repS) so I get an error message. If I assume repS is in fact rep_score
I get another variable not found (delivery_segmentation).
I am afraid that I am unable to sort that one out so this is going to
remain a mystery. I endorse Bert's suggestion of getting local help.
On 12/08/2016 17:24, Shivi Bhatia wrote:
Hi Bert,
Does this text file help. Apologies if this does not help as i have a
hard time on many occasions to get a reproducible example.
If this doesn't work a CSV with only 100kb of data i can share.
Regards, Shivi
On Fri, Aug 12, 2016 at 8:50 PM, Shivi Bhatia <[email protected]
<mailto:[email protected]>> wrote:
Sure Burt, i will share the data after masking it. it isn't big
regards, Shivi
On Fri, Aug 12, 2016 at 8:36 PM, Bert Gunter <[email protected]
<mailto:[email protected]>> wrote:
1. No, changing to factor will make no difference.
2. I think that most likely your problem is your model is not
estimable/your design matrix is singular. You should resolve
this by
consulting with a local statistical expert or, if your data set
is not
too large or confidential, posting your full dataset using
dput() (see
?dput for how to do this).
Cheers,
Bert
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 Fri, Aug 12, 2016 at 7:58 AM, Shivi Bhatia
<[email protected] <mailto:[email protected]>> wrote:
> Hi Michael,
>
> There is no output as the model does not generate any
coefficients and
> simply throws this error.
>
> I hope you are not asking for a reproducible example.
>
> On Fri, Aug 12, 2016 at 7:30 PM, Michael Dewey
<[email protected] <mailto:[email protected]>>
> wrote:
>
>> Dear Shivi
>>
>> Can you show us the output?
>>
>> And please do not post in HTML as it will mangle your post into
>> unreadability.
>>
>> On 12/08/2016 10:10, Shivi Bhatia wrote:
>>
>>> Hi Team,
>>>
>>> I am creating *my first* Logistic regression on R Studio. I
am working on
>>> a
>>>
>>> C-SAT data where rating (score) 0-8 is a dis-sat whereas
9-10 are SAT. As
>>> these were in numeric form so i had as below created 2 classes:
>>>
>>> new$survey[new$score>=0 & new$score<=8]<- 0
>>> new$survey[new$score>=9]<- 1
>>> This works fine however the class still shows as "numeric"
and levels
>>> shows
>>> as "NULL". Do i still need to use "as.factor" to let R know
these are
>>> categorical variables.
>>>
>>> Also i have used the below code to run a logistic regression
with all the
>>> possible predictor variables:
>>> glm.fit= glm(survey ~ support_cat + region+ support_lvl+
skill_group+
>>> application_area+ functional_area+
>>> repS+ case_age+ case_status+ severity_level+
>>> sla_status+ delivery_segmentation, data = SFDC,
family =
>>> binomial)
>>>
>>> But it throws an error:-
>>> Warning messages:
>>> 1: glm.fit: algorithm did not converge
>>> 2: glm.fit: fitted probabilities numerically 0 or 1 occurred
>>>
>>> I checked online for the error and it says:
>>> "glm() uses an iterative re-weighted least squares
algorithm. The
>>> algorithm
>>> hit the maximum number of allowed iterations before signalling
>>> convergence.
>>> The default,
>>> documented in ?glm.control is 25."
>>>
>>> Kindly suggest on the above case and if i have to change my
outcome var as
>>> as.factor.
>>>
>>> Thank you, Shivi
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> [email protected] <mailto:[email protected]> mailing
list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
<https://stat.ethz.ch/mailman/listinfo/r-help>
>>> PLEASE do read the posting guide http://www.R-project.org/posti
>>> ng-guide.html
>>> and provide commented, minimal, self-contained, reproducible
code.
>>>
>>>
>> --
>> Michael
>> http://www.dewey.myzen.co.uk/home.html
<http://www.dewey.myzen.co.uk/home.html>
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> [email protected] <mailto:[email protected]> mailing
list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
<https://stat.ethz.ch/mailman/listinfo/r-help>
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
<http://www.R-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
--
Michael
http://www.dewey.myzen.co.uk/home.html
______________________________________________
[email protected] mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
