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> summary.aov(aovRes, split=list(interval = list("i1 vs i2" = 1, "i2 vs > i3" = 2, "i3 vs i4" = 3, "i4 vs i5" = 4, "i5 vs i6" = 5))) > try class(aovRes) #-> aovlist ! summary.aovlist(aovRes, spit=...) or simply summary(aovRes, spit...
Why not try to avoid binning (and density plot) at all? An alternative could be a qqplot (as a log-log-plot), e.g. plot(ppoints(length(x4)), x4[order(x4)], log="xy") abline(lm(log(x4[order(x4)])~log...
On 16 Dec 2005 at 17:40, Patrick Kuss wrote: > > Dear r-list, > > I am trying to visually seperate the two main clusters of a dendrogram. > The idea is to use: > > 'edgePar=list(lty=3)' for 'dend1[[1]]' and > 'edgePar...
To construct a nonparametric (1-alpha) confidence set for an arbitrary CDF F, you can use the Dvoretzky-Kiefer-Wolfowitz (DKW) inequality (e.g., see Wasserman, L. (2005). All of Statistics. 2nd, corr. printing. NY: Springer, p. 99). With n...
try height.of.leafs <- dendrapply(hcd, function(e) attr(e, "height")) unlist(height.of.leafs) Regards Herwig -- Dr. Herwig Meschke Wissenschaftliche Beratung Hagsbucher Weg 27 D-89150 Laichingen phone +49 7333 210 417 / fax +49 7333 210 418 email HerwigMeschke...
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