I don't think SPSS does anything with the variables you enter there. Have you entered it as numeric? Have you entered gender as numeric in R?
On Tue, Jul 19, 2011 at 6:11 PM, Bert Gunter <gunter.ber...@gene.com> wrote: > Answer: Contrasts, i.e. the parameterization of the categorical variable(s) > df. > > ?contrasts may be of some help, but you really need to do some > background studying of the linear models principles involved. Googling > may provide tutorials. Also searching the mail archives, e.g.: > > https://stat.ethz.ch/pipermail/r-help/2009-February/187479.html > > -- Bert > > On Tue, Jul 19, 2011 at 2:39 PM, J. <seoulseoulse...@gmail.com> wrote: >> Hi, I am trying to do a simple multiple regression analysis that has one >> nominal variable (gender) and three numeric variables as independent >> variables and one numeric variable as dependent variable. >> >> So, I got a formula like this: >> summary(out.3 <- lm(scale(DV) ~ gender + scale(IV.1) + scale(IV.2) + >> scale(IV.3)) >> >> I tried to compare the outcome in R with the outcome in SPSS and found the >> results are different! >> I found that R and SPSS have the exact same outcome when every variable is >> numeric; however, whenever I included "gender (0/1)" variable in the >> equation, the result become different. >> >> I guess that SPSS automatically treat gender as a numeric variable and >> standardize it when running analysis. So, I tried to change "gender" to a >> numeric variable and ran analysis but the results were still not identical. >> >> What is the problem here and what is the right way to do this analysis? >> Thanks, >> >> Jay Yang >> >> -- >> View this message in context: >> http://r.789695.n4.nabble.com/Different-result-of-multiple-regression-in-R-and-SPSS-tp3679423p3679423.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. >> > > > > -- > "Men by nature long to get on to the ultimate truths, and will often > be impatient with elementary studies or fight shy of them. If it were > possible to reach the ultimate truths without the elementary studies > usually prefixed to them, these would not be preparatory studies but > superfluous diversions." > > -- Maimonides (1135-1204) > > Bert Gunter > Genentech Nonclinical Biostatistics > > ______________________________________________ > 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. > -- Dimitri Liakhovitski marketfusionanalytics.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.
