`Modern Applied Statistics with S-Plus' by W.N. Venables & B.D. Ripley ====================================================================== Errata for the third printing of the second edition. p. 49 l.-15 at least >1<. Arrays can be of dimension 1 (although this is not very useful). p.168 l.-3 estimate of the >skewness<. p.179 (5.4) 1/b should be 1/(nb) p.277 first display. theta/log_2 p.313 The correlation here is in fact between observations, as lme has taken the ranks of the times. Set serial.covariate.transformation = "none" to achieve what we intended (but note this fails to fit correctly). p.327 display. ... - \alpha . (This is necessary as the smoothers used by gam() do not include the constant.) p.340 l.7,8 x is the independent variables, y the dependent ones. p.347 third displayed equation. - is needed before H(t). p.411 (13.9) The scond Psi should be inverted too. p.370 We should have had age=c(50,50) - 48, but in fact survfit would in error here even with the correct age. p.416 Caption: The numbers m/n denote the proportion of training cases reaching that node >that are classified incorrectly by the label in the node< p.457 The coh component is the _squared_ coherency, so these plots need some adjustment (and people need to use more helpful names). Typos ----- p.154 l.6 >A< small example p.167 first line after code. In S-PLUS 3.2 this >has< been modified.. p.238 l.-7 For large models >it< is often helpful to p.253 l.-8 with one value >that< appears to be out by