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]> 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]> > 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]> > > 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] 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/posti > >>> ng-guide.html > >>> and provide commented, minimal, self-contained, reproducible code. > >>> > >>> > >> -- > >> Michael > >> http://www.dewey.myzen.co.uk/home.html > >> > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > [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. > [[alternative HTML version deleted]] ______________________________________________ [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.
