Dear Santos, Since your models are nested you can apply a likelihood ratio test.
M0 <- glm(formula = Spend_bucket ~ Freq + Address_is_res + last_update_days_ago, data = qdataset, family = binomial) M1 <- glm(formula = Spend_bucket ~ Freq + Address_is_res, data = qdataset, family = binomial) anova(M0, M1, test = "Chisq") Note that using the data argument makes you code much more readable. Best regards, Thierry ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium + 32 2 525 02 51 + 32 54 43 61 85 thierry.onkel...@inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -----Oorspronkelijk bericht----- Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens santoshdvn Verzonden: maandag 30 april 2012 10:23 Aan: r-help@r-project.org Onderwerp: [R] HOw compare 2 models in logistic regression Hi, I have created 2 models in logistic regression and got the predictor values are significance on output. Here are 2 summaries of 2 model. HOw can we compare 2 models by what factor or coefficient and say which model is best Please help --------------------------------------------------------------------------------------------------------------- *MODEL 1* glm(formula = qdataset$Spend_bucket ~ qdataset$Freq + qdataset$Address_is_res + qdataset$last_update_days_ago, family = binomial) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -1.572e+00 2.344e-01 -6.708 1.98e-11 *** qdataset$Freq 8.763e-01 8.229e-02 10.649 < 2e-16 *** qdataset$Address_is_res -8.743e-01 2.116e-01 -4.132 3.60e-05 *** qdataset$last_update_days_ago -4.568e-04 7.625e-05 -5.991 2.09e-09 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 1228.41 on 988 degrees of freedom Residual deviance: 957.74 on 985 degrees of freedom AIC: 965.74 Number of Fisher Scoring iterations: 5 ------------------------------------------------------------------------------------------------------------------------------- *MODEL 2* glm(formula = qdataset$Spend_bucket ~ qdataset$Freq + qdataset$Address_is_res, family = binomial) Deviance Residuals: Min 1Q Median 3Q Max -2.5798 -0.6428 -0.5894 0.7271 2.2402 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -2.6148 0.1732 -15.094 < 2e-16 *** qdataset$Freq 0.9526 0.0794 11.997 < 2e-16 *** qdataset$Address_is_res -0.7622 0.2044 -3.729 0.000192 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 1228.41 on 988 degrees of freedom Residual deviance: 995.18 on 986 degrees of freedom AIC: 1001.2 Number of Fisher Scoring iterations: 5 -------------------------------------------------------------------------------------- Thanks, Santosh -- View this message in context: http://r.789695.n4.nabble.com/HOw-compare-2-models-in-logistic-regression-tp4597659.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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. * * * * * * * * * * * * * D I S C L A I M E R * * * * * * * * * * * * * Dit bericht en eventuele bijlagen geven enkel de visie van de schrijver weer en binden het INBO onder geen enkel beding, zolang dit bericht niet bevestigd is door een geldig ondertekend document. The views expressed in this message and any annex are purely those of the writer and may not be regarded as stating an official position of INBO, as long as the message is not confirmed by a duly signed document. ______________________________________________ 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.
