> On Dec 2, 2016, at 9:09 AM, David Winsemius <dwinsem...@comcast.net> wrote: > >> >> On Dec 2, 2016, at 6:16 AM, Ashim Kapoor <ashimkap...@gmail.com> wrote: >> >> Dear Pikal, >> >> All levels except the interactions are compared to the Intercept. I'm a >> little confused as to what's going on in interaction terms eg. the cell >> wool B : tension M. It's mean is : >> 28.78 and 28.78 - 44.56 = -15.78 != 21.111. >> >> It's something like 44.56 (intercept) -16.333 (wool B) -.20.556 (tension >> M) + 21.111 (woolB:tensionM) = 28.782. >> >> I don't know how to sum up the above line in terms of differences >> succinctly. > > The aov estimate will not exactly equal the observed mean (this is > _statistics_ after all). You should be comparing the mean of that cell to the > estimate: > > 44.556 + (-16.33) +(-20.556) + (21.11)
A respected participant advised me to look at this more closely. In this case (and I think in most such cases) where there are the same number of parameters as there are means, the model is "saturated" and there is no difference: with( warpbreaks, tapply( breaks, interaction(wool, tension), mean ) ) A.L B.L A.M B.M A.H B.H 44.55556 28.22222 24.00000 28.77778 24.55556 18.77778 So the B:M estimate is identical up to rounding with the observed mean: 44.556 + (-16.33) +(-20.556) + (21.11) [1] 28.78 > > The difference between the observed mean and the estimated mean is known as a > 'residual' I've also been privately but gently chided for this misstatement. Residuals are the difference between data and estimates. > and the squared sum of the all residuals is what this being minimized ... > over all the cells including the one implicitly associated with the Intercept. > > This isn't really on-topic for Rhelp since you are not having difficulty in > getting the R program to perform its duties, but are rather in need of > statistical education. That not what this mailing list is set up for. > > -- > David. > >> >>> >>>> -----Original Message----- >>>> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Ashim >>>> Kapoor >>>> Sent: Thursday, December 1, 2016 2:48 PM >>>> To: r-help@r-project.org >>>> Subject: [R] Interpreting summary.lm for a 2 factor anova >>>> >>>> Dear all, >>>> >>>> Here is a small example : - >>>> >>>>> model <- aov(breaks ~ wool * tension, data = warpbreaks) >>>>> summary.lm(model) >>>> >>>> Call: >>>> aov(formula = breaks ~ wool * tension, data = warpbreaks) >>>> >>>> Residuals: >>>> Min 1Q Median 3Q Max >>>> -19.5556 -6.8889 -0.6667 7.1944 25.4444 >>>> >>>> Coefficients: >>>> Estimate Std. Error t value Pr(>|t|) >>>> (Intercept) 44.556 3.647 12.218 2.43e-16 *** >>>> woolB -16.333 5.157 -3.167 0.002677 ** >>>> tensionM -20.556 5.157 -3.986 0.000228 *** >>>> tensionH -20.000 5.157 -3.878 0.000320 *** >>>> woolB:tensionM 21.111 7.294 2.895 0.005698 ** >>>> woolB:tensionH 10.556 7.294 1.447 0.154327 >>>> --- >>>> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 >>>> >>>> Residual standard error: 10.94 on 48 degrees of freedom >>>> Multiple R-squared: 0.3778, Adjusted R-squared: 0.3129 >>>> F-statistic: 5.828 on 5 and 48 DF, p-value: 0.0002772 >>>> >>>>> model.tables(model,"e") >>>> Tables of effects >>>> >>>> wool >>>> wool >>>> A B >>>> 2.8889 -2.8889 >>>> >>>> tension >>>> tension >>>> L M H >>>> 8.241 -1.759 -6.481 >>>> >>>> wool:tension >>>> tension >>>> wool L M H >>>> A 5.278 -5.278 0.000 >>>> B -5.278 5.278 0.000 >>>> >>>> >>>>> model.tables(model,"m") >>>> Tables of means >>>> Grand mean >>>> >>>> 28.14815 >>>> >>>> wool >>>> wool >>>> A B >>>> 31.037 25.259 >>>> >>>> tension >>>> tension >>>> L M H >>>> 36.39 26.39 21.67 >>>> >>>> wool:tension >>>> tension >>>> wool L M H >>>> A 44.56 24.00 24.56 >>>> B 28.22 28.78 18.78 >>>>> >>>> >>>> I don't follow the output of summary.lm. I understand the output of >>>> model.tables for effects and means. For instance what does 44.556 >>>> represent ? Is it the grand average ? The grand mean is 28.14815. Can >>>> someone help me understand the output of summary.lm ? >>>> >>>> Best Regards, >>>> Ashim >>>> >>>> [[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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David Winsemius Alameda, CA, USA ______________________________________________ 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.