Hi
Yes, I am sure. Have a look here for SPSS e.g.: http://www-01.ibm.com/support/docview.wss?uid=swg21475199 and here http://www.ats.ucla.edu/stat/spss/modules/missing.htm and for STATA here, http://www.ats.ucla.edu/stat/stata/modules/missing.html I know that R allows for pairwise deletion in the cor() function, but I need it for regression analysis. The default is listwise (casewise) deletion. Would be grateful for further input on this. 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 Website: http://adeldaoud.se/ <http://adeldaoud.se/> On Wed, Jul 13, 2016 at 10:53 AM, PIKAL Petr <petr.pi...@precheza.cz> wrote: > 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 > > Website: http://adeldaoud.se/ <http://adeldaoud.se/> > > > > On Wed, Jul 13, 2016 at 8:21 AM, PIKAL Petr <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] On Behalf Of adel > > daoud > > Sent: Tuesday, July 12, 2016 8:28 PM > > To: r-help <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 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. > Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě > neprodleně jeho odesílatele. 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