[R] OT: compare several graphs
Jan_Svatos@eurotel.cz
Jan_Svatos at eurotel.cz
Mon Oct 22 15:30:07 CEST 2001
Hi Sven,
I am just doing something similar-
my graphs are densities of nonnegative r.v's (with all probability mass at
fixed bounded interval).
Then I compute their "distance" by dist (mva package needed), i.e.
my.dist<-dist(t(cbind(dens1$y, dens2$y)))
(provided that dist1$x==dist2$x, of course)
The problem of course is, how to decide about statistical and/or
"practical" significance of a difference.
I cannot remain myself of some correct statistical test of such hypothesis
H: f_1 \eqiv f_2 (given that at least the family of f_1, f_2 is known) vs.
H_1: f_1 \neq f_2
The Kolmogorov-Smirnov may be not sensitive to some alternatives.
But still the comparison of (appropriate kernel estimates of) densities may
be of some help.
Jan
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/- Jan Svatos, Sokolovska 855/225 -/
/- Data Analyst, Prague 9 -/
/- Eurotel Praha 190 00 -/
/- jan_svatos at eurotel.cz Czechia -/
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- - - Original message: - - -
From: owner-r-help at stat.math.ethz.ch
Send: 10/22/01 3:14:11 PM
To: R-Help <r-help at stat.math.ethz.ch>
Subject: [R] OT: compare several graphs
Hi all,
this is OT, but maybe someone can give me a clue. I've got data from eye
tracker experiments (750 data points). These figures show how the data
lock like
|** * ***** |*** ******
| ** **** | * *
| | * *
| | *
|-------------- |---------------
Y axes display velocity, x axes display time, * are the data points. My
question is if there is a method to compare these graphs statistical and
decide if they are different from each other or not. Maybe I can divide
the x axes into several intervals and compare the means?
Thanks for any suggestions,
Sven
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