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It seems that MASS suggest to judge on the basis of sum(residuals(mode,type="pearson"))/df.residual(mode). My question: Is there any rule of thumb of the cutpoiont value? The paper "On the Use of Corrections for Overdispersion" suggests overdispersion exists if the deviance is at least twice the number of degrees of freedom. Are there any further hints? Thanks. -- Ronggui

..., and I'm trying: mtext(paste(expression(beta),"max"),side=1,line=2) simply writes "beta max" in the plot. Please, Could you tell me what I'm doing wrong? By the way, is there a way to add Latex expressions to graphics? Then I could use the Latex expression: $\beta_{\mathrm{max}}$. This also would be very useful for me for more complex expressions in plots. Best regards, Javier -- Javier Garc?a-Pintado Institute of Earth Sciences Jaume Almera (CSIC) Lluis Sole Sabaris s/n, 08028 Barcelona Phone: +34 934095410 Fax: +34 934110012 e-mail:jgarcia at ija.csic.es

...eta}} \sim N(\mathbf{\beta}, \sigma^2(\mathbf{X}^T\mathbf{X})^{-1})$. 'confint' calculates individual coefficients so far as I can tell, but I need simultaneous CIs based on the confidence ellipse/ F distribution. Inverting the ellipse gives this equation: \mathbf{\hat{\beta}} \pm \sqrt{\mathrm{diag}(s^2(\mathbf{X}^T\mathbf{X})^{-1}) \times p \times F_{p, n-p, .95}} Thanks, and sorry for such a dumb question. Either I am not searching for the right thing or this hasn't already been addressed in the lists (perhaps because it is so easy). Kyle [[alternative HTML version deleted]]

...ives the quantile function and LANG(rnchisq) generates random deviates. PARA ! The non-central chi-square distribution with EQN(df) degrees of freedom ! and non-centrality parameter EQN(greeklambda) has density ! DEQN(f(x) = SUP(e @@ -\lambda / 2) ! \sum_{r=0}^\infty \frac{\lambda^r}{2^r r!} \mathrm{pchisq}(x, df + 2r) ! @@ ! f(x) = exp(-lambda/2) SUM_{r=0}^infty (lambda^r / 2^r r!) ! pchisq(x, df + 2r) ! ) for EQN(x GE 0). ) =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Sen...