Thank you Eik - this makes much more sense now.


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On Thu, Oct 6, 2011 at 1:21 PM, Eik Vettorazzi <e.vettora...@uke.de> wrote:

> Hi Tal,
> you are comparing different things. The "Details"-section of ?anova.qr
> states "test the hypothesis that smaller models are adequate relative to
> the largest specified model". So in your first anova you compare fit2
> with fit1 and fit0, in your second attempt fit1 with fit0, so you have
> different "base"-models to compare with, and consequently different
> p-values.
>
> hth.
>
> Am 06.10.2011 10:05, schrieb Tal Galili:
> > Hello dear R help members.
> >
> > I am trying to understand the anova.rq, and I am finding something which
> I
> > can not explain (is it a bug?!):
> >
> > The example is for when we have 3 nested models.  I run the anova once on
> > the two models, and again on the three models.  I expect that the p.value
> > for the comparison of model 1 and model 2 would remain the same, whether
> or
> > not I add a third model to be compared with.
> > However, the P values change, and I do not understand why.
> >
> > Here is an example code (following with it's input):
> >
> > data(barro)
> > fit0 <- rq(y.net ~  lgdp2 + fse2 , data = barro)
> > fit1 <- rq(y.net ~  lgdp2 + fse2 + gedy2 , data = barro)
> > fit2 <- rq(y.net ~  lgdp2 + fse2 + gedy2 + Iy2 , data = barro)
> > anova(fit0,fit1,fit2, R = 1000)
> > anova(fit0,fit1, R = 1000)
> >
> >
> > Output:
> >
> >> data(barro)
> >> fit0 <- rq(y.net ~  lgdp2 + fse2 , data = barro)
> >> fit1 <- rq(y.net ~  lgdp2 + fse2 + gedy2 , data = barro)
> >> fit2 <- rq(y.net ~  lgdp2 + fse2 + gedy2 + Iy2 , data = barro)
> >> anova(fit0,fit1,fit2, R = 1000)
> > Quantile Regression Analysis of Deviance Table
> >
> > Model 1: y.net ~ lgdp2 + fse2 + gedy2 + Iy2
> > Model 2: y.net ~ lgdp2 + fse2 + gedy2
> > Model 3: y.net ~ lgdp2 + fse2
> >   Df Resid Df F value    Pr(>F)
> > 1  1      156  29.494 2.110e-07 ***
> > 2  2      156  18.194 7.901e-08 ***
> > ---
> > Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> >> anova(fit0,fit1, R = 1000)
> > Quantile Regression Analysis of Deviance Table
> >
> > Model 1: y.net ~ lgdp2 + fse2 + gedy2
> > Model 2: y.net ~ lgdp2 + fse2
> >   Df Resid Df F value  Pr(>F)
> > 1  1      157  3.9532 0.04852 *
> > ---
> > Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> >> sessionInfo()
> > R version 2.13.1 (2011-07-08)
> > Platform: i386-pc-mingw32/i386 (32-bit)
> >
> > locale:
> > [1] LC_COLLATE=Hebrew_Israel.1255  LC_CTYPE=Hebrew_Israel.1255
> > [3] LC_MONETARY=Hebrew_Israel.1255 LC_NUMERIC=C
> > [5] LC_TIME=Hebrew_Israel.1255
> >
> > attached base packages:
> > [1] splines   stats     graphics  grDevices utils     datasets  methods
> > base
> >
> > other attached packages:
> >  [1] rms_3.3-1                    Hmisc_3.8-3
> >  survival_2.36-9
> >  [4] colorspace_1.1-0             quantreg_4.71
>  SparseM_0.89
> >
> >  [7] PerformanceAnalytics_1.0.3.2 xts_0.8-2                    zoo_1.7-4
> >
> > [10] reporttools_1.0.6            xtable_1.5-6
> >
> > loaded via a namespace (and not attached):
> > [1] cluster_1.14.0  grid_2.13.1     lattice_0.19-33 tools_2.13.1
> >
> >
> >
> >
> >
> >
> > ----------------Contact
> > Details:-------------------------------------------------------
> > Contact me: tal.gal...@gmail.com |  972-52-7275845
> > Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
> > www.r-statistics.com (English)
> >
> ----------------------------------------------------------------------------------------------
> >
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> >
> >
> >
> >
> > ______________________________________________
> > 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.
>
>
> --
> Eik Vettorazzi
>
> Department of Medical Biometry and Epidemiology
> University Medical Center Hamburg-Eppendorf
>
> Martinistr. 52
> 20246 Hamburg
>
> T ++49/40/7410-58243
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