[R] Finding the effect of Box-Cox transformation using "vis.boxcoxu"

classic Classic list List threaded Threaded
2 messages Options
Reply | Threaded
Open this post in threaded view
|

[R] Finding the effect of Box-Cox transformation using "vis.boxcoxu"

Arun.stat
Dear all R users,

I have a dataset 'data' and I want to see the effect of Box-Cox
transformation on it Interactively for different lambda values. I already
got a look on function "vis.boxcoxu" in package "TeachingDemos". But I
didn't find any option to put user's own dataset. Can anyone tell me how to
put my own dataset here i.e. "data"?

Thanks and regards,

        [[alternative HTML version deleted]]

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Reply | Threaded
Open this post in threaded view
|

Re: [R] Finding the effect of Box-Cox transformation using "vis.boxcoxu"

Michael Kubovy
?box.cox

?boxcox

On Jan 22, 2007, at 2:25 AM, Arun Kumar Saha wrote:

> I have a dataset 'data' and I want to see the effect of Box-Cox
> transformation on it Interactively for different lambda values. I  
> already
> got a look on function "vis.boxcoxu" in package "TeachingDemos". But I
> didn't find any option to put user's own dataset. Can anyone tell  
> me how to
> put my own dataset here i.e. "data"?

_____________________________
Professor Michael Kubovy
University of Virginia
Department of Psychology
USPS:     P.O.Box 400400    Charlottesville, VA 22904-4400
Parcels:    Room 102        Gilmer Hall
         McCormick Road    Charlottesville, VA 22903
Office:    B011    +1-434-982-4729
Lab:        B019    +1-434-982-4751
Fax:        +1-434-982-4766
WWW:    http://www.people.virginia.edu/~mk9y/

______________________________________________
[hidden email] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.