`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