Please do not cross post (see te posting guide). This should go only to the mixed models list.
-- 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 Thu, Nov 15, 2018 at 3:47 AM Bill Poling <bill.pol...@zelis.com> wrote: > > Hi, I have removed the pdf which was causing my e-mail to be blocked by > moderators, my apologies. > > https://www.jstatsoft.org/article/view/v034i12/v34i12.pdf > > Original post: > > Hello. I am still trying to get some of the examples in this glmulti pdf to > work with my data. > > I have sent e-mails to author addresses provided but no response or bounced > back as in valid. > > I am not sure if this is more likely to receive support on r-help or > r-sig-mixed-models, hence the double posting, my apologies in advance. > > I am windows 10 -- R3.5.1 -- RStudio Version 1.1.456 > > glmulti: An R Package for Easy Automated Model Selection with (Generalized) > Linear Models > > pdf Attached: > > On page 13 section 3.1 of the pdf they describe a routine to estimate the > candidate models possible. > > Their data description: > The number of levels factors have does not affect the number of candidate > models, only their complexity. We use a data frame dod, containing as a first > column a dummy response variable, the next 6 columns are dummy factors with > three levels, and the last six are dummy covariates. > To compute the number of candidate models when there are between 1 and 6 > factors and 1 and 6 covariates, we call glmulti with method = "d" and data = > dod. We use names(dod) to specify the names of the response variable and of > the predictors. We vary the number of factors and covariates, this way: > > > Their routine: > dd <- matrix(nc = 6, nr = 6) for(i in 1:6) for(j in 1:6) dd[i, j] <- > glmulti(names(dod)[1], > + names(dod)[c(2:(1 + i), 8:(7 + j))], data = dod, method = "d") > > My data, I organized it similar to the example, Response, Factor, Factor, 5 > covariates > > Classes 'data.table' and 'data.frame':23141 obs. of 8 variables: > $ Editnumber2 : num 0 0 1 1 1 1 1 1 1 1 ... > $ PatientGender : Factor w/ 3 levels "F","M","U": 1 1 2 2 2 2 1 1 1 1 ... > $ B1 : Factor w/ 14 levels "Z","A","C","D",..: 2 2 3 3 2 2 2 2 2 > 2 ... > $ SavingsReversed: num -0.139 -0.139 -0.139 -0.139 -0.139 ... > $ productID : int 3 3 3 3 3 3 3 3 1 1 ... > $ ProviderID : int 113676 113676 113964 113964 114278 114278 114278 > 114278 114278 114278 ... > $ ModCnt : int 0 0 0 0 1 1 1 1 1 1 ... > $ B2 : num -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 ... > - attr(*, ".internal.selfref")=<externalptr> > > Trying to follow what they did, my routine, Editnumber2 is the response > variable: > > dd <- matrix(nc = 2, nr = 5) > for(i in 1:2) for(j in 1:5) dd[i, j] <- glmulti(names(r1)[1], > names(r1)[c(2:(1 + i), 7:(6 + j))], data = r1, method = "d") > > The error: Error in terms.formula(formula, data = data) : > invalid model formula in ExtractVars > > I have tried changing the numbers around but get results like this: > > Initialization... > TASK: Diagnostic of candidate set. > Sample size: 23141 > 2 factor(s). > 2 covariate(s). <--appears to be missing 3 of the covariates for some reason? > 0 f exclusion(s). > 0 c exclusion(s). > 0 f:f exclusion(s). > 0 c:c exclusion(s). > 0 f:c exclusion(s). > Size constraints: min = 0 max = -1 > Complexity constraints: min = 0 max = -1 Your candidate set contains 250 > models. > Error in `[<-`(`*tmp*`, i, j, value = glmulti(names(r1)[1], names(r1)[c(2:(1 > + : > subscript out of bounds > > > I hope someone can help straighten out my code, thank you. > > > WHP > > > > Confidentiality Notice This message is sent from Zelis. ...{{dropped:13}} > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.
