[R] Box-Cox / data transformation question

Landini Massimiliano numero.primo at tele2.it
Sun Jan 30 18:23:09 CET 2005


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)  
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