similar to: interpolation using akima (PR#8174)

Dear R users, I want to do a fitted.contour plot of selected columns of a dataframe M with M$AM and M$Irradiance as x and y axes respectively. The level of the contour shall be determined by M$PR. Some words on my data first. Dataframe M looks like: head(M$Irradiance) [1] 293 350 412 419 477 509 head(M$AM) [1] 2.407 2.161 1.964 1.805 1.673 1.563 head(M$PR) [1] 70.102 72.600 75.097 80.167

Hello, I have a long list of x-, y- and z-data and try to generate a heatmap. Obviously there are several data with identical x- and y-values. I get the following error message: Error in interp.old(x, y, z, xo = xo, yo = yo, ncp = 0, extrap = extrap, : duplicate data points: need to set 'duplicate = ..' Unfortunately there seems no help screen on "duplicate". I'd prefer

DeaR list, I'm running an external program that computes some electromagnetic response of a scattering body. The numerical scheme is based on a discretization with a characteristic mesh size "y". The smaller y is, the better the result (but obviously the computation will take longer). A convergence study showed the error between the computed values and the exact solution

Dear R users, I have created a Loess surface in R, in which x is relative longitude by miles, y is relative latitude by miles, and z is population density at the neighborhood level. The purpose is to identify some population centers in the region. I'm wondering if there is a way to determine the coordinates (x,y) of each center, so I can know exactly where they are. Let me use the

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

Dear R package developers: I need help on getting a package compiled for windows. I am trying to use definitions and routines from a set of libraries in that are in LINUX under #include <netdb.h> #include <sys/socket.h> #include <netinet/in.h> #include <arpa/inet.h> but these are unavailable in windows. I found that we can get these by including, in windows these

Dear List, I'm using interp() to prepare 3d data for plotting with the contour() function. If have x,y and z data. All are arrays. X and Y are sampled in an orderly fashion on a grid (a circular sub-area of a grid - see plot). I'm trying to use interp() to get x and y arrays and a z matrix that can be fed to contour(). This is the command:

Hi, I have a sparse matrix.I want to fill values into the entries whose value is 0.The new generated values should come from the interpolation of the values have existed.Does R provide such interpolation functions which operate on Matrix, for example ,such a matrix below 0 0 0 0 2.3 0 0 0 0 0 0 3.1 0 0 0 0 1.4 0 0 0 0 0 0 0 0 0 0 1.1 0 0 0 0 0 0 0 0 0 0 0 4

I am trying to load the GRASS library and am getting the following error: > library(GRASS) Loading required package: akima Error: package 'akima' could not be loaded In addition: Warning message: There is no package called 'akima' in: library(pkg, character.only = TRUE, logical = TRUE, lib.loc = lib.loc) This is on R 2.0.0, library(GRASS) is installed, and update.packages()

I am using the Akima interpolation package to generate an interpolated color contour plot. It is working very well, except for one problem. The data that I have represents real-time readings from a thermistor string vs. time, so the data points are often very nearly in a rectangular array, since the thermistors are read at regular time intervals and they are equally spaced physically.

Dear all I have this table > dput(mat) mat <- structure(c(2, 16, 9, 2, 16, 1, 1, 4, 7, 7, 44.52, 42.8, 43.54, 40.26, 40.09), dim = c(5L, 3L)) And I want to calculate result for contour or image plots as I did few years ago. However interp does not compute the z values and gives me zeros in z matrix. library(akima) > interp(mat[,1], mat[,2], mat[, 3], nx=5, ny=5) $x [1] 2.0 5.5

Dear all. I am using the akima function to produce 3d contour plots using interp based on irregular data. using the eg in the akima manual library("akima") data(akima) plot(y ~ x, data = akima, main = "akima example data") with(akima, text(x, y, formatC(z,dig=2), adj = -0.1)) ## linear interpolation akima.li <- interp(akima$x, akima$y, akima$z) image (akima.li, add=TRUE)

Dear R users, I am having problems loading the akima package. I use Windows XP, and R version 2.12.1. When I try to load the package I get this error message: Error: package ''akima'' is not installed for ''arch=i386'' Any help appreciated and thanks you for your time. Carlos Montenegro Silva Magíster en Estadística Departamento Evaluación de Recursos División

Dear all! I'm using R 2.12.1 in Ubuntu 10.04. Problem is that when using functions like interp (package akima) and akimaInterp (package fUtilities), I get different results every time for the same data set. I've checked the interpolated results, and two examples (in attachment) have different sum of NA values. Also when I subtract the x,y,z values from two interpolations of the same data

The akima package has a problematic license (it doesn't allow commercial use), so it's been recommended that people use the interp package instead. When I use interp::interp instead of akima::interp, I get reasonable output from your example. So that's another reason to drop akima... Duncan Murdoch On 26/01/2023 9:35 a.m., PIKAL Petr wrote: > Dear all > > I have this

Hi everyone I was using spline to interpolate single or two consecutive missing data points in time series. However, when it comes to longer gaps in the data the spline function generate new data for both my known and unknown data (see below). Aside from not understanding why this happens, I thought thought I might try function "aspline" in library (akima). However, I cannot install or

R Users, I am using the AKIMA contrib package to generate a 2D colored contour plot. The code generates a contour value color legend adjacent the plot based on the range of Z values in the plot. Is there some way to make the association between Z values and color scale absolute rather than relative i.e., I want dark green to always mean Z = 4.00 even if I don't

Dear all; First of all, this is probably a more conceptual question than a R-related one, but still want to give it a try. When working with the interpolation function "interp" from the package akima and the triangulation function "tri.mesh" from package tripack I've got NA's for the interpolation and "error" for the triangulation. The data is arranged in a

Full_Name: Michael R. Allen Version: 1.01 OS: linux redhat Submission from: (NULL) (149.149.32.46) Hello, Thought you might be interested. I tried to load the package tripack needed by the sgeostat package. After some careful searching, three packages were found which had the same error. Here is the output. Mike > library(acepack) Error in dyn.load(x, as.logical(local),

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