best way to fit a model
Em Sex 09 Set 2005 15:25, Achim Zeileis escreveu:
On Fri, 9 Sep 2005 14:55:04 -0300 Ronaldo Reis-Jr. wrote:
Hi, I have some data that have this behaviour: |******* | * | * | * | * |---------------- What is the best and simpler way to fit this in R?
If the changepoint is known, then this is straightforward using lm:
I try this. But my doubt now is: How to justify this kind of analysis? Why dont use any linearized or non linear regression to fit this? Something like a log function (I try but is not a good function). Thanks Ronaldo
Your reasoning is excellent -- it's only your basic assumptions that are wrong. -- |> // | \\ [***********************************] | ( ?? ?? ) [Ronaldo Reis J??nior ] |> V [UFV/DBA-Entomologia ] | / \ [36570-000 Vi??osa - MG ] |> /(.''`.)\ [Fone: 31-3899-4007 ] | /(: :' :)\ [chrysopa at insecta.ufv.br ] |>/ (`. `'` ) \[ICQ#: 5692561 | LinuxUser#: 205366 ] | ( `- ) [***********************************] |>> _/ \_Powered by GNU/Debian Woody/Sarge