Hi Mike,
You should think of "vector" sums rather than arithmetic sum. So the
mean
is really the direction of the resultant vector of all the unit vectors.
When two unit vectors are exactly opposing each other (as in your example
with angles 45 and 225 degrees), they cancel each other out and the
resultant vector has length zero, and hence the direction is arbitrary and
undefined. However, there are two issues which give rise to seemingly
anomalous results: (1) due to finite numerical precision in computing the
sines and cosines, exact cancellation does not happen, and (2) discontinuity
in atan function due to branch-point (0, 0) and a branch cut along negative
real axis.
For example,> deg(circ.mean(c(rad(30),rad(210))))
[1] -56.30993247402022> sx <- sin(rad(210)) + sin(rad(30))
> cx <- cos(rad(210)) + cos(rad(30))
> sx
[1] -1.665334536937735e-16> cx
[1] 1.110223024625157e-16> atan(sx,cx) # this should really be 0
[1] -0.9827937232473291>
If you now look at the resultant vector it has components (sin(-0.9828),
cos(-0.9828)) = (-0.83,0.55), which is completely wrong.
However, the above example is only a minor perturbation away from the
following (where the resultant vector is not zero):> deg(circ.mean(c(rad(211),rad(30)))) # note 211 = -149 (mod 360)
[1] -59.49999999999996
which is perfectly alright.
Hope this helps,
Ravi.
--------------------------------------------------------------------------
Ravi Varadhan, Ph.D.
Assistant Professor, The Center on Aging and Health
Division of Geriatric Medicine and Gerontology
Johns Hopkins University
Ph: (410) 502-2619
Fax: (410) 614-9625
Email: rvaradhan at jhmi.edu
--------------------------------------------------------------------------
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-
> bounces at stat.math.ethz.ch] On Behalf Of Michael Peckford
> Sent: Tuesday, June 28, 2005 1:35 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Circular Mean Question
>
>
> Hi, a question about the circular mean function in the package
> CircStats:
>
> Can anyone shed some light on why the circ mean function seems to make
> sense for the first 2 set of bearings and then the mean of 225 and 45
> degrees gives an unexpected 180 deg.
>
> > deg(circ.mean(c(rad(222),rad(45))))%%360
> [1] 133.5
> > deg(circ.mean(c(rad(224),rad(45))))%%360
> [1] 134.5
> > deg(circ.mean(c(rad(225),rad(45))))%%360
> [1] 180
> > deg(circ.mean(c(rad(226),rad(45))))%%360
> [1] 315.5
>
> Can anyone explain this???
>
> This problem was first detected when I was trying to take the circ
> weighted means of my data:
>
> With 2 groups of bearings:
> x <- c(270,180)
> y <- c(45,270)
>
> the circular mean of these bearings gives:
> > deg(circ.mean(c(rad(x),rad(y))))%%360
> [1] 257.2356
>
> When finding the weighted means I get this:
> > meany <- circ.mean(rad(y))
> > meanx <- circ.mean(rad(x))
>
> > deg(circ.weighted.mean(c(meanx,meany),c(2,2)))%%360
> [1] 281.25
>
> The function for weighted mean I am using:
>
> circ.weighted.mean <- function (x,w)
> {
> sinr <- sum(w*sin(x))
> cosr <- sum(w*cos(x))
> circmean <- atan(sinr, cosr)
> circmean
> }
>
> I am assuming that the problem that mention above is the cause of the
> different mean bearings.
>
> Am I missing something fundamental here?
>
> Thanks,
> Mike
>
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