similar to: Contouring irregular xyz data via TIN

Dear, I'm looking for some examples on OO programming in R. I have the programming manual with explanation on UseMethod and NextMethod but I miss some practical examples to get me going (I hope). I searched the web but could not find a good independent tutorial on this. Any suggestions are welcome, Kris -- ------------------------------------------------------------------------

Hi, I looked for the nls() function and couldn't find it. In the refman.pdf it's mentioned as part of the nls package which I cannot find and I also read something about the MASS package, also impossible to find for me. Kris -- ------------------------------------------------------------------------ http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=krisn

Hi, I'm new to R and looking for a way to use a variable to reference to an object. I'm plotting several graphs on top of each other and want to do this by a for loop. The field I want to graph have names like a1,a2,a3, ... I can't figure out how to get this working: It should look like this: lines(spectral$Wavelength,paste("spectral$a",j,sep=""),col=j) but

Dear, we have a problem with geoR. We try to read an ASCII table (x,y,z) with 40000 lines. With read.geodata we get the error: Error in vector("double", length) : cannot allocate vector of length 799980000 We can read the file without any problem with read.table, but trying to convert it to the geodata class gets the same error. Any help/tips would be appreciated. Kris, Dave --

Dear, We are trying to read an asciifile using the read.table() function and discovered that only 4 decimals are read. Any idea how to get more decimals? Kris -- ------------------------------------------------------------------------ http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=krisn ------------------------------------------------------------------------ Minds are

Hi, I can't figure out how to get the P-values out of the summery of a logistic regression. I used: logit.out <- glm(...) and then I should be able to extract just the P values for the coefficients. Any idea? Kris -- ------------------------------------------------------------------------ http://perswww.kuleuven.ac.be/~u0027178/VCard/mycard.php?name=krisn

Dear, Thanks for the previous tips about 'its' for importing the following data. 5/10/1998,7 5/11/1998,5 5/12/1998,2 5/14/1998,1 5/15/1998,1 5/19/1998,1 5/20/1998,1 1. When using the following command; test<-readcsvIts('Fires98.csv',informat=its.format("%m/%d/%Y"),header=FA LSE) the function reads in the data from the csv file as; V2 05/10/1998 7

Hello, I'd like to make a z(x,y) plot for irregularly spaced x,y. What are routines are available in R for this purpose? Thanks, Mark

Dear all, Is there a simple trick to read in data with the following format and create a Time Serie object of it? Date CountOfField2 5/10/1998 7 5/11/1998 5 5/12/1998 2 5/14/1998 1 5/15/1998 1 5/19/1998 1 5/20/1998 1 5/21/1998 1 5/24/1998 2 5/25/1998 1 5/26/1998 2 .... 2002 ... R should recognize that some dates are not available...(NA). You can define start and end date Ok, and frequency= 365

Hi R-Helpers, I'm dealing with the STL procedure and trying to apply the tsdiag and StructTS onto the ts object to analyse the different parameters which need to be set. How can I use the tsStructure & tsdiag to create a seasonal, trend and cycle subseries plot so that I can select & analyse the correct np,ns, nt and nl? The problem is that too much signal goes into the seasonal

Dear R Helpers, Currently I'm working with the ts package of R and created a TimeSerie from pixels extracted from satellite imagery(S10 NDVI data, 10 daily composites). I'm trying to decompose this signal in different signals (seasonal and trend). When testing out the STL method is says => Only univariate timeseries are allowed, but the current Timeserie I'm using is univariate!

Dear R helpers, I try to use the 'delaunayn' function in the 'geometry' package for Delaunay triangulation in 2 dimensions. For the four following points, I get a warning message : > coord=matrix(ncol=2,byrow=TRUE,c(622633,7073452, + 621228,7073517, + 621879,7071762, +

Hello, I'm almost positive R can do the following, I just haven't hit upon the right package or search terms, however. Here's what I'm after: I've got concentration output from two different models that I want to qualitatively compare in a contour plot (or some variant of a contour plot). The problem as I see it is that the data is not gridded is the usual regular fashion,

There's Renka's STRIPACK, and TRIPACK, respectively, ACM TOMS Algorithms 772 and 751, and there's the R package "deldir" which does the Delaunay for a plane, but does anyone have or know of the tessellation in R for a sphere? Also, is there a standard indexing scheme for Delaunay facets, and perhaps of edges in such facets? I'd expect that to be a publication reference,

The problem: I would like to translate the Octave algorithm in griddata.m to R. Within the griddata algorithm calls are made to the Delaunay function. For the R translation I have found delaunayn within the "geometry" package and also the deldir package. Both do similar things but give slightly different results depending on the input. The question is, what is making the results for the

"The question is, what is making the results for the R packages different from each other?" There are literally thousands of R packages, contributed independently by thousands of people. There should be no expectation of consistency or for that matter, "correctness", among them. Caveat emptor. Only within the base R distribution, maintained and mostly written by the R Core

Hi. I am trying some S-Plus scripts that I used a few years ago on R. Many things have worked flawlesly and I am very impressed with the work the developers have done. (As I remember, the license fee on S-Plus at that time was ~$4500 per seat (AIX) ouch!!) So, thank you. My question relates to the intrp function, which takes irregularly spaced xyz data and produces a regular xyz grid

Hello all, I'm attempting to conduct spatial analysis of trees within a plot. I want to see if the trees are spatially correlated to soil characteristics, say pH, or moisture content. I think one way to do it is with mpl, however, my soil characteristics were not taken at exactly the same locations as my trees and further, the vectors aren't the same length. I'm getting the

Dear R'Helpers and Colleagues, I have looked in the documentation, asked to some colleagues in the lab, but was unable to solve the following difficulty. I am running R on a iMac G5 with OS 10.4. The file below (73 rows x 144 col) shows the values of a climatic index on the globe with a grid of 2,5 ? x 2,5 ? (NA = no value): ? With image() and map() and running the following

> From: Martin Maechler <maechler at stat.math.ethz.ch> > To: royle at bearmtn-e0.cgd.ucar.edu > CC: lgygax at access.unizh.ch, r-help at stat.math.ethz.ch > Subject: contour labelling [was "Re: [R] image ()"] > Mime-Version: 1.0 (generated by tm-edit 7.106) > > >>>>> "Jeffrey" == Jeffrey A Royle <royle at bearmtn-e0.cgd.ucar.edu>