Hi Hm. Are you 100% sure that other software packages can do pairwise deletion in OLS or GLM? I am not at all familiar with them but
http://www.ats.ucla.edu/stat/spss/modules/stats.htm suggests that option pairwise is available with corr and I believe the same option exists in cor function in R. My statistical knowledge is inferior but I just cannot imagine how whole model could be computed when one value is missing. Cheers Petr From: adelda...@gmail.com [mailto:adelda...@gmail.com] On Behalf Of Adel Daoud Sent: Wednesday, July 13, 2016 10:00 AM To: PIKAL Petr <petr.pi...@precheza.cz> Cc: r-help <r-help@r-project.org> Subject: Re: [R] pairwise deletion in regression models Thanks Petr for the suggestion. I just took the regtools package for a quick test drive. It looks promising, but it still needs further development to make it a viable option. You will not get a standard regression output (as in lm or glm), only the regression coefficients (without standard errors). I will be happy to try it out once it is more robust. I am a bit puzzled that the R universe seems to lack a robust package that allows for pairwise deletion (which is standard in the otherwise poorer software packages STATA or SPSS…). Would be very happy if anyone can show me otherwise. Best, Adel -- Adel Daoud, PhD, Researcher Newly published: * Daoud, Adel and Kohl, Sebastian, How Much Do Sociologists Write About Economic Topics? Using Big-Data to Test Some Conventional Views in Economic Sociology, 1890 to 2014. Max Planck Institute for the Study of Societies, Discussion Paper 16/7 <http://www.mpifg.de/pu/mpifg_dp/dp16-7.pdf> * Daoud, Adel, Björn Halleröd, and Debarati Guha-Sapir, (2016) “What Is the Association between Absolute Child Poverty, Poor Governance, and Natural Disasters? A Global Comparison of Some of the Realities of Climate Change”, PLoS ONE 11(4)<http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0153296> *Shailen Nandy, Adel Daoud, David Gordon, (2016), Examining the changing profile of undernutrition in the context of food price rises and greater inequality, Social Science & Medicine, Volume 149, Pages 153–163<http://www.sciencedirect.com/science/article/pii/S0277953615302446> Department of Sociology and Work Science, University of Gothenburg Box 720 405 30, Göteborg, Sweden Email: adel.da...@sociology.gu.se<mailto:adel.da...@sociology.gu.se> Website: http://adeldaoud.se/ <http://adeldaoud.se/> On Wed, Jul 13, 2016 at 8:21 AM, PIKAL Petr <petr.pi...@precheza.cz<mailto:petr.pi...@precheza.cz>> wrote: Hi http://stats.stackexchange.com/questions/158366/fit-multiple-regression-model-with-pairwise-deletion-or-on-a-correlation-covari The package is probably not available on CRAN but seems to be still maintained on github. Cheers Petr > -----Original Message----- > From: R-help > [mailto:r-help-boun...@r-project.org<mailto:r-help-boun...@r-project.org>] On > Behalf Of adel > daoud > Sent: Tuesday, July 12, 2016 8:28 PM > To: r-help <r-help@r-project.org<mailto:r-help@r-project.org>> > Subject: [R] pairwise deletion in regression models > > Dear R users, > > > > I would like to use a pairwise deletion of missing values in linear regression > (lm or glm preferably). I want to replicate some studies done in STATA that > uses this type of deletion. What options do we have in R to work with > pairwise deletion? Most packages I have found do not have this option, it > seems (lm, glm, plm, psych, sampleSelection). > > > > This question has been raised here > <http://r.789695.n4.nabble.com/set-the-bahavior-that-R-deal-with-missing- > values-td803840.html> > and here > <http://r.789695.n4.nabble.com/Pairwise-deletion-in-a-linear-regression- > and-in-a-GLM-td4653004.html>, > but without any clear answer. > > > > Any input is welcomed > > > > Thanks in advance > > > Adel > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org<mailto: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. ________________________________ Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou určeny pouze jeho adresátům. 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[[alternative HTML version deleted]] ______________________________________________ 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.
