search for: interpp

Hi, I'm currently hunting a bug in the akima library, especially in the code behind the interpp.old function (bi-variate linear interpolation). It is based on a triangulation algorithm, interpolation at a given point needs to know the triangle which contains this point, then the interpolation is a straightforward calculation based on the three vertexes. The problem is: Sometimes the triangle...

Hello, Is there any other bivariate pointwise interpolation command besides akima's interpp? I tried to search through the J. Baron's page without luck. The problem is that I have got regularly spaced data (in x and y) what is not acceptable for interpp. I am not very much interested in the method of interpolation as the data are dense and the error would not be to high. Thanks i...

Dear All, I would like to plot a scalar (e.g. a temperature) on a non-rectangular domain (or even better: I would simply like to be able to draw a contour plot on an arbitrary 2D domain). I wonder if there is any tool to achieve that with R. I did some online search in particular on the list archives, found several queries similar to this one but was not able to find any conclusive answer. I

Hi. I'm trying to take a data set with two independent and one dependent variable and enter a x,y value to predict the dependent with a nonparametric technique. I've been using interpp in the akima package, (windows xp, R 2.4.1), but get values that are orders of magnitude off when the predictors are slightly out of the range of the data set. Can you recommend a function for me? I've read that predict.loess has the same problem or just lists NA. Smooth.spline looks good, b...

...tionship between two variables and plot the results, how do I manipulate the graph to be able to show a value of the abscissa, especially for negative values, i.e. where the linear line intersects the x axis left of the y axis? There are 4 packages that claim interpolation (akima, aspline, interp, interpp) but they seem far to complicated, especially the latter two. Is there a simpler package I could use? Yours, rhelp at conference.jabber.org r 251 (27-06-07) mandriva 2008

...386 instruction make: *** [idcldp.o] Error 1 cp: *.so: No such file or directory R data help >>> Building help pages for package `akima' Formats: text html latex akima text html latex interp text html latex interpp text html latex DONE (akima) DONE (INSTALL) ........................................................................ Can somebody please explain what is happening here, I don't have a clue. I am using a...

...386 instruction make: *** [idcldp.o] Error 1 cp: *.so: No such file or directory R data help >>> Building help pages for package `akima' Formats: text html latex akima text html latex interp text html latex interpp text html latex DONE (akima) DONE (INSTALL) ........................................................................ Can somebody please explain what is happening here, I don't have a clue. I am using a...

Hi there, I have been using the Tps function (within the Fields package) for a while now to interpolate different sedimentary units. Due to the method of formation of the units I know that at some edges the thickness of the unit decreases to zero. I was wondering if there was someway to specify that the interpolation only occurs within the convex hull of the data, outside of which the the values

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

...-0400, eric lee > wrote: > AA> > AA> EL> Hi. I'm trying to take a data set with two > independent and one > AA> EL> dependent variable and enter a x,y value to > predict the dependent > AA> EL> with a nonparametric technique. I've been > using interpp in the akima > AA> EL> package, (windows xp, R 2.4.1), but get > values that are orders of > AA> EL> magnitude off when the predictors are > slightly out of the range of > AA> EL> the data set. Can you recommend a function > for me? I've read that > AA&g...