Rsquared for anova
Thanks Dieter, Even if I use lm(), I get the following output:
summary(fit)
? ? ? ? ? ? ?Df ?Sum Sq Mean Sq F value ? ?Pr(>F) nh1 ? ? ? ? ? ?1 ? 324.0 ?323.99 ?139.13 < 2.2e-16 *** nh2 ? ? ? ? ? ?1 ? 723.1 ?723.12 ?310.53 < 2.2e-16 *** nh3 ? ? ? ? ? ?1 ?1794.2 1794.21 ?770.49 < 2.2e-16 *** Residuals ? 4604 10721.2 ? ?2.33 --- Signif. codes: ?0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? no R squared to be found. The lm() output gives this:
summary(fit)
? ? ? ? ? ? ?Df ?Sum Sq Mean Sq F value ? ?Pr(>F) nh1 ? ? ? ? ? ?1 ? 324.0 ?323.99 ?139.13 < 2.2e-16 *** nh2 ? ? ? ? ? ?1 ? 723.1 ?723.12 ?310.53 < 2.2e-16 *** nh3 ? ? ? ? ? ?1 ?1794.2 1794.21 ?770.49 < 2.2e-16 *** Residuals ? 4604 10721.2 ? ?2.33 --- Signif. codes: ?0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? I just want to see how wel the model fits... Another strange thing. I did the same calculations in SPSS and got different results, among others, higher p values. lm() and aov() just do linear regressions (anova) right? I tried with the same factorial variables (without interaction effects to test). Thanks!
On 15 April 2011 18:07, Dieter Menne <dieter.menne at menne-biomed.de> wrote:
dorien wrote:
I calculate an anova test in the following way: ... aov example I want to check the fit of the model with Rsquared
Try summary(lm(...)) instead. Dieter -- View this message in context: http://r.789695.n4.nabble.com/Rsquared-for-anova-tp3452399p3452434.html Sent from the R help mailing list archive at Nabble.com.
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-- Dorien Herremans Department of Environment, Technology and Technology Management Faculty of Applied Economics University of Antwerp B.513 Prinsstraat 13 2000 Antwerp Belgium +32 3 265 41 25
Dorien Herremans Department of Environment, Technology and Technology Management Faculty of Applied Economics University of Antwerp B.513 Prinsstraat 13 2000 Antwerp Belgium +32 3 265 41 25