On Jun 1, 2011, at 9:24 AM, Clement LAUZIN wrote:



Hello,

I have a x,y,z file.Z is not corresponding to a simple analytical function of x and y (see below). I am trying to find the minimum location of this surface and the z value corresponding to this location by a spline interpolation or from a polynomial fit. I tried with the akima package but as the location of the point I am looking for (the minimum) is outside of the convex hull it's not giving any answer.

I do not think that is the reason akima::interp is failing. (For one thing the minimum is not outside the convex hull of x and y.) Note that the help page says that x and y cannot be collinear but yours appear to be so.

> table(ZZ$x)

4.05  4.1 4.15  4.2 4.25  4.3 4.35
   5    5    5    5    5    5    5
> table(ZZ$y)

  60 67.5   75 82.5   90
   7    7    7    7    7

I took a shot at jittering the x and y and reapplying interpp ... and ended up with what appeared to be useless junk.

If you look at the data with contourplot you can see it would place the minimum at around z=-175 at x=4.24, y=67. However, the contourplot and associated help pages say there is no documentation for the algorithm used.

contourplot(z ~ x + y, data=ZZ, at=seq(-140, -180 , by= -0.5), interp=TRUE)



If someone has any idea or any suggestion?

Thank you in advance Pierre


x    y    z
4.1 60 -152.1719593
4.1 75 -171.136801
4.1 90 -170.4604774
4.2 60 -168.7745552
4.2 75 -174.9667333
4.2 90 -172.1853334
4.3 60 -173.7736418
4.3 75 -171.6712745
4.3 90 -167.6662458
4.05 60 -137.8379387
4.15 60 -162.2264066
4.25 60 -172.4453286
4.35 60 -173.2123715
4.05 67.5 -158.8239625
4.1 67.5 -167.314534
4.15 67.5 -172.586182
4.2 67.5 -175.2217594
4.25 67.5 -175.7162683
4.3 67.5 -174.4890566
4.35 67.5 -171.8940061
4.05 75 -165.4388778
4.15 75 -174.1460392
4.25 75 -174.022344
4.35 75 -168.2149168
4.05 82.5 -166.4026077
4.1 82.5 -170.9199652
4.15 82.5 -172.9923449
4.2 82.5 -173.0803255
4.25 82.5 -171.5739101
4.3 82.5 -168.8024715
4.35 82.5 -165.0431276
4.05 90 -166.2592978
4.15 90 -172.2861302
4.25 90 -170.5383652
4.35 90 -163.8389615

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