Hello Don, Jeff,

Thanks a lot for the comments and suggestions.

Best

Janh


On Thu, Mar 21, 2013 at 10:57 AM, MacQueen, Don <macqueen1@llnl.gov> wrote:

> According to ?ros, one of the arguments is:
>
> reverseT: A name of a function to use for reversing the transformation
>           after performing the ROS fit. Defaults to 'exp'.
>
> And in the Details section:
>
>  By default, 'ros' performs a log transformation prior to, and
>  after operations over the data.
>
>
> Given those statements, perhaps the expectation should be a plot in
> original units?
> Keep in mind that a main purpose is summary statistics in the original
> units.
> After running the first example in ?ros, including the plot, try these:
>
>   unclass(myros)
>   abline(h=myros$modeled,col='blue')
>
>
> -Don
>
>
> --
> Don MacQueen
>
> Lawrence Livermore National Laboratory
> 7000 East Ave., L-627
> Livermore, CA 94550
> 925-423-1062
>
>
>
>
>
> On 3/20/13 5:48 PM, "Janh Anni" <annijanh@gmail.com> wrote:
>
> >Dear Users
> >Regarding the NADA package, would anyone be able to help me understand
> >what
> >values are actually plotted on the Y axis of the plot obtained by using
> >the
> >*ros* function on the data and plotting the result with the plot()
> >function? The Y axis is labeled "Values". According to the NADA user
> >manual, ros performs a log transformation of the data by default, but the
> >user can specify no transformation, or some other transformation besides
> >log, if desired. However the values plotted on the Y axis appear to be the
> >raw data values, regardless of which transformation or no transformation
> >was used. If the log transformation is used for instance, I would have
> >expected the logs of the original data instead of the raw data to be
> >plotted on the Y axis.
> >
> >Thanks for your help.
> >Janh
> >
> >       [[alternative HTML version deleted]]
> >
> >______________________________________________
> >R-help@r-project.org 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.
>
>

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