There is no argument 'test' to anova.clm hence the error message. The likelihood ratio statistic (or, alternatively, G^2 statistic or Deviance statistic) has an asymptotic chi-square distribution, so it is the size of that statistic your reviewers are asking for. It is printed in the anova output under the name 'LR.stat' (1252 on 8 df in your case it seems).
Cheers, Rune On 11 September 2013 18:17, Torvon <tor...@gmail.com> wrote: > José, > > I get the following error message: > >> m1<-clm(sym_bin ~ phq_index, data=data2) >> m2<-clm(sym_bin ~ 1, data=data2) >> anova(m1,m2,test="Chisq") > >> Error in anova.clm(m1, m2, test = "Chisq") : >> only 'clm' and 'clmm' objects are allowed > > My dependent variable is binary, so I don't know what the problem could be. > See below the model summaries. Thank you! Eiko > >> summary(m1) > formula: sym_bin ~ phq_index > data: data2 > > link threshold nobs logLik AIC niter max.grad cond.H > logit flexible 12348 -4846.49 9710.97 7(0) 2.53e-08 1.4e+02 > > Coefficients: > Estimate Std. Error z value Pr(>|z|) > phq_index2 -0.29705 0.11954 -2.485 0.013 * > phq_index3 0.63382 0.10262 6.176 6.56e-10 *** > phq_index4 1.53022 0.09664 15.834 < 2e-16 *** > phq_index5 0.90720 0.09996 9.075 < 2e-16 *** > phq_index6 -0.03855 0.11337 -0.340 0.734 > phq_index7 -0.06488 0.11394 -0.569 0.569 > phq_index8 -1.15618 0.15156 -7.628 2.38e-14 *** > phq_index9 -2.50064 0.25670 -9.741 < 2e-16 *** > --- > Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 > > Threshold coefficients: > Estimate Std. Error z value > 0|1 1.87770 0.07959 23.59 > > >> summary(m2) > formula: sym_bin ~ 1 > data: data2 > > link threshold nobs logLik AIC niter max.grad > logit flexible 12348 -5472.48 10946.96 5(0) 1.01e-11 > > Threshold coefficients: > 0|1 > 1.642 > > > > > > > > On 11 September 2013 18:03, Jose Iparraguirre < > jose.iparragui...@ageuk.org.uk> wrote: > >> Hi Eiko, >> >> How about this? >> >> > anova (m1, m2, test="Chisq") >> >> See: ?anova.glm >> >> Regards, >> José >> >> >> Prof. José Iparraguirre >> Chief Economist >> Age UK >> >> >> >> -----Original Message----- >> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] >> On Behalf Of Torvon >> Sent: 11 September 2013 16:48 >> To: r-help@r-project.org >> Subject: [R] Chi-square values in GLM model comparison >> >> Hello -- >> I am comparing two >> GLMs (binomial dependent variable) >> , the results are the following: >> > m1<-glm(symptoms ~ phq_index, data=data2) m2<-glm(symptoms ~ 1, >> > data=data2) >> >> Trying to compare these models using >> > anova (m1, m2) >> I do not obtain chi-square values or a chi-square difference test; >> instead, I get loglikelihood ratios: >> >> > Likelihood ratio tests of cumulative link models: >> > formula: link: threshold: >> > m2 sym_bin ~ 1 logit flexible >> > m1 sym_bin ~ phq_index logit flexible >> > no.par AIC logLik LR.stat df Pr(>Chisq) >> > m2 1 10947 -5472.5 >> > m1 9 9711 -4846.5 1252 8 < 2.2e-16 *** >> >> Since reviewers would like me to report chi-square values: how to I obtain >> them when comparing GLMs? I'm looking for an output similar to the output >> of the GLMER function in LME4, e.g.: >> >> > anova(m3,m4) >> ... >> > Df AIC BIC logLik Chisq Chi Df Pr(>Chisq) >> > m3 13 11288 11393 -5630.9 >> > m4 21 11212 11382 -5584.9 92.02 8 < 2.2e-16 *** >> >> Thank you! >> Eiko >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list >> 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. >> >> The Wireless from Age UK | Radio for grown-ups. >> >> www.ageuk.org.uk/thewireless >> >> >> If you’re looking for a radio station that offers real variety, tune in to >> The Wireless from Age UK. >> Whether you choose to listen through the website at >> www.ageuk.org.uk/thewireless, on digital radio (currently available in >> London and Yorkshire) or through our TuneIn Radio app, you can look forward >> to an inspiring mix of music, conversation and useful information 24 hours >> a day. >> >> >> >> >> ------------------------------- >> Age UK is a registered charity and company limited by guarantee, >> (registered charity number 1128267, registered company number 6825798). >> Registered office: Tavis House, 1-6 Tavistock Square, London WC1H 9NA. >> >> For the purposes of promoting Age UK Insurance, Age UK is an Appointed >> Representative of Age UK Enterprises Limited, Age UK is an Introducer >> Appointed Representative of JLT Benefit Solutions Limited and Simplyhealth >> Access for the purposes of introducing potential annuity and health >> cash plans customers respectively. 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