(v2) [R] quadratic trends and changes in slopes (R-help digest, Vol 1 #52 - 16 msgs)

I'd like to use linear and quadratic trend analysis in order to find
out a change in slope.  Basically, I need to solve a similar problem as
discussed in
http://www.gseis.ucla.edu/courses/ed230bc1/cnotes4/trend1.html

This response show how to do the test of non-linearity in a 
complicated way, all can be done much easier in R, start to 
look at poly() and contr.poly() (and summary.aov with the argument 
split=). But that is not the point. The original poster did'nt want 
to test for nonlinearity, he assumed there is nonlinearity and wanted
to estimate the change point. He also said that the usual procedure
to do that in his field is to estimate cuadratic models for data
1, 1:2, 1:3, ..., 1:9 (or some similar number) and take the change-
point as the value of i above (in 1:i) where the quadratic term
first is significant. That cannot be sound, as you obviously must go
 somewhat past the changepoint before the quadratic term can become 
significant! So this method cannot possibly give an consistent 
estimator of the change-point. He should use some other method, like 
building a model with an explicit change-point and estimate that.

Kjetil Halvorsen