Dear all,
I am struggling with a problem and I am hoping that somebody could point
me in the right direction.
I am trying to match the locations of two peak patterns. A is the true
pattern. B is the measured pattern. Hence A and B have a very strong
linear relationship. The problem is that B can contain false positives:
peaks due to noise instead of the true pattern from A. An additional
problem is that some peaks from A could be missing in B.
So what I am looking for is a way to select the largest possible subsets
from A and B that give a good estimate of their relationship.
Here is some example data. Notice that both B's have a different length.
They should match both with A.
A <- c(50, 100, 145, 200, 204, 255, 300, 350, 364, 400, 460, 495, 500,
530, 565, 600, 650, 700)
B <- c(561, 622, 1050, 1290, 1574, 1594, 1613, 1910, 2165, 2438, 2520,
2706, 3013, 3182, 3203, 3343, 3496, 3645, 3844, 4026)
B <- c(573, 633, 671, 707, 1060, 1303, 1594, 1615, 1633, 1936, 2195,
2472, 2554, 2743, 3053, 3225, 3246, 3388, 3543, 3693, 3894, 4078)
Any suggestions?
Best regards,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be
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say what the experiment died of.
~ Sir Ronald Aylmer Fisher
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