[R] Box-Cox / data transformation question

[Landini Massimiliano]

On Tue, 25 Jan 2005 15:42:45 +0100, you wrote:

|=[:o)  Dear R users,
|=[:o)  
|=[:o)  Is it reasonable to transform data (measurements of plant height) to the 
|=[:o)  power of 1/4? I´ve used boxcox(response~A*B) and lambda was close to 0.25.
|=[:o)  

IMHO (I'm far to be a statistician) no. I think that Box Cox procedure must be a
help to people that had none experience in data transforming. In fact data
transforming include other methods that Box Cox procedure can't perform as rank
transformation, arcsine square root percent transformation, hyperbolic inverse
sine, log-log, probit, normit  and logit.
Transformation is not simply an application of a formula to massive data. Is
preferable decide appropriate transformation knowing deepening how and from
where data were collected.


|=[:o)  Regards,
|=[:o)  Christoph
|=[:o)  
|=[:o)  ______________________________________________
|=[:o)  R-help at stat.math.ethz.ch mailing list
|=[:o)  https://stat.ethz.ch/mailman/listinfo/r-help
|=[:o)  PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html



-------------------------------------------------------------------------------------------------------------------------
Landini dr. Massimiliano
Tel. mob. (+39) 347 140 11 94
Tel./Fax. (+39) 051 762 196
e-mail: numero (dot) primo (at) tele2 (dot) it
-------------------------------------------------------------------------------------------------------------------------
Legge di Hanggi: Più stupida è la tua ricerca, più verrà letta e approvata.
Corollario alla Legge di Hanggi: Più importante è la tua ricerca, meno verrà
capita.