Re: [R] Box-Cox Transformation: Drastic differences when varying added constants

2010-05-18 Thread Frank E Harrell Jr
On 05/18/2010 10:41 PM, Greg Snow wrote: Have you read the BoxCox paper? It has the theory in there for dealing with an offset parameter (though I don't know of any existing functions that help in estimating both lambdas at the same time). Though another important point (in the paper as well

Re: [R] Box-Cox Transformation: Drastic differences when varying added constants

2010-05-18 Thread Greg Snow
half Of Holger Steinmetz > Sent: Sunday, May 16, 2010 6:22 AM > To: r-help@r-project.org > Subject: [R] Box-Cox Transformation: Drastic differences when varying > added constants > > > Dear experts, > > I tried to learn about Box-Cox-transformation but found the following &

Re: [R] Box-Cox Transformation: Drastic differences when varying added constants

2010-05-17 Thread Bill Pikounis
Hi Holger, I would also highly recommend you look at the ?boxcox and ?logtrans functions in the MASS package. There is also a very illuminating, concise discussion about their use on Pages 170 - 172 of Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. with

Re: [R] Box-Cox Transformation: Drastic differences when varying added constants

2010-05-16 Thread Peter Ehlers
On 2010-05-16 6:22, Holger Steinmetz wrote: Dear experts, I tried to learn about Box-Cox-transformation but found the following thing: When I had to add a constant to make all values of the original variable positive, I found that the lambda estimates (box.cox.powers-function) differed dramati

[R] Box-Cox Transformation: Drastic differences when varying added constants

2010-05-16 Thread Holger Steinmetz
Dear experts, I tried to learn about Box-Cox-transformation but found the following thing: When I had to add a constant to make all values of the original variable positive, I found that the lambda estimates (box.cox.powers-function) differed dramatically depending on the specific constant chos