On Fri, 31 Oct 2014 07:19:01 AM Jim Lemon wrote:
> On Wed, 29 Oct 2014 05:12:19 PM CJ Davies wrote:
> > I am trying to show that the red line ('yaw') in the upper of the two
> > plots here;
> >
> > http://i.imgur.com/N4Xxb4f.png
> >
> > varies more within the pink sections ('transition 1') than in the
light
> > blue sections ('real').
> >
> > I tried to use var.test() however this runs into a problem because
> > although the red line doesn't vary much *within* any particular
light
> > blue section, it does vary a lot *between* light blue sections.
> >
> > For example, in the light blue section around t=90 the red line
>
> doesn't
>
> > move much & likewise in the light blue section around t=160 the
>
> red line
>
> > doesn't move much. But between these two sections the red line
>
> has moved
>
> > substantially.
> >
> > So if I simply subset the data according to pink/light blue & then
put
> > those resultant subsets into var.test(), the answer does not show
>
> the
>
> > relationship that I want it to.
> >
> > Can anybody shed some light on a sensible method of solving
this?
>
> Hi CJ,
> If your dataset has the transition type coded for each observation:
>
> rotation transition
> 90 blue
> 90 blue
> 115 pink
> -10 pink
> 30 green
> ...
>
> you could aggregate all the observations within each transition type
> and test that.
>
> Jim
>
Oops,
What I meant was aggregate all the _deviations_ within each transition
type.
Jim
______________________________________________
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.
