similar to: I need help with eofs

Hi, I often use the mod() and instring() functions that are available in the clim.pact package. This package has a lot of dependencies, including installation of netCDF, and I haven't yet been able to get library(clim.pact) to work on a Mac OS 10.4.6. A previous request for help with the Mac problem yielded no results, so now I wonder if I could just extract the definitions for the couple

Dear R community, I'm working with PCA and CCA methods, and I have a theoretical question. Why is it necesary to have more temporal values than variables when the CCA O PCA are going to be used? Could you advise to me some any paper about it? Thanks in advance, [[alternative HTML version deleted]]

Hello all, I am trying to use "clim.pact" package for my work, but since this is the beginning for me to use gridded datasets in "R", I am having some trouble. I want to do seasonal analyses like trends, anomalies, variograms, EOF and probably kriging too to downscale my 1 degree gridded data to 0.5.  So, as a first step, I compiled my entire dataset (with 25

Some years ago when I used S-PLUS, I seem to remember, there was a discussion about a simple method of removing trailing spaces from vector elements. I'd be fairly sure the same would work in R, but I can't find any mention of anything like it in the R archives or with help.search(). There are ways I could do it with substring(), but I seem to remember there was something more elegant.

I normally use the raster or clim.pact pckages to read netcdf (.nc) files. This has always worked out for me until this weekend every time i try to read a .nc file i get the following error Program: C:\Program Files\RStudio\bin\x64\rsession.exe File: posixio.c, Line 417 Expression: offset >= 0 This application has requested the Runtime to terminate it in an unusual way.Please contact the

Hello, I have installed the package clim.pact in R on both Mac OS X and Windows XP. Everything works fine on the Mac but in Windows, I have a problem when I try to execute some simple commands. I get this error: Error in gzfile(file, "wb") : unable to open connection In addition: Warning message: In gzfile(file, "wb") : cannot open compressed file

I am wondering if anyone might know why the package clim.pact won't install properly. I have tried many URL sites and the same thing happens. I get the error message below. I also tried downloading the ZIP from the CRAN site and extracting the file myself, but an error message (something like, "not an archive file") appears. I operate through Windows. Thanks. Gary Nelson.

Hi all, I would like to know a way of calculating the distance between 2 points when I already have the longitude and latitude of the points. For example : Point 1 : 52? 9'54.00"N 4?25'8.40"E Point 2 : 52?27'46.80"N 4?33'18.00"E Distance between point 1 and point in km .... Is there any functions already available for this ? Any help will be much

Please could someone point me in the right direction as I appear to be having a total mental block with fairly basic PCA problem! I have a large dataframe where rows represent independent observations and columns are variables. I am wanting to perform PCA sequentially on blocks of nrows at a time and produce a graphical output of the loadings for the first 2 EOFs for each variable. I'm sure

Hello everyone, I need reshape an array. For example, if we have next array: > a <- c(1,2,3,4,5,6,7,8,9,10,11,12) > dim(a) <- c(2,2,3) > a , , 1 [,1] [,2] [1,] 1 3 [2,] 2 4 , , 2 [,1] [,2] [1,] 5 7 [2,] 6 8 , , 3 [,1] [,2] [1,] 9 11 [2,] 10 12 I need to get next matrices: 1 2 3 4 5 6 7 8 9 10 11 12 1 3 2 4 5

I have a question that I have been trying to figure out and I imagine there is a very simple answer to it. I am trying to use the distAB function in the clim.pact package I have a dataframe with 4 columns in which A is ref pt and B is site 1. longitude of A 2. Latitude of A 3. longitude of B 4. Latitude of B Problem is the columns are unequal in length column 1 and 2 are length=29 and 3 and 4

Dear R community, I am working with huge arrays, so I spend a lot of time computing. This is my code: for (x in 1:dim(variable)[1]){ for (y in 1:dim(variable)[2]){ for (z in 1:dim(variable)[3]){ result <- max(variable[x,y,z,]) } } } Is there a more efficient procedure to do this task? Thanks in advance! [[alternative HTML version deleted]]

Hi, Is it possible to recreate "smoothed" data sets in R, by performing a PCA and then reconstructing a data set from say the first 2/3 EOFs? I've had a look in the help pages and don't seem to find anything relevant. Thanks in advance, Laura Laura Quinn Institute of Atmospheric Science School of Earth and Environment University of Leeds Leeds LS2 9JT tel: +44 113 343 1596

Thanks Mike. My data has longitude and latitude coords and I used distAB {clim.pact} then mst {ape} to calculate my minimum spanning tree. The nodes are telecoms sites from all over Australia. My goal is to determine the minimum cost of linking them via cabling, and I'm starting by calculating the distance "as the crow flies", but will probably eventually need to calculate the

hi all, is there a new mechanism in R 2.3.0 for copying libraries from, say, R 2.2.1 to R 2.3.0? i ask because gabor grothendieck comments in his copydir.bat (from gabor's batchfiles at: http://cran.r-project.org/contrib/extra/batchfiles/batchfiles_0.2-5.zip ): ``:: I personally upgraded my 2.1.0 to 2.2.0 this way so it seems ok until :: R replaces this with something better which is

System: Linux kernel 2.6.15 Ubuntu dapper R version 2.5.1 ESS 5.2.11 on Emacs 21.4.1 ------------------------- Colleagues Having read the posts on producing perfect graphs in R, or using inkscape to edit R graphics output, I have a related question. Lately I am publishing in a journal that is very picky about their graphics formats. It is more efficient for me to get the final picky details

I am looking for a package to read and write NetCDF files. NetCDF package says it can only read, not write. Another package for the standard binary file format? Daehyok Shin

I am using following codes to plot map library(sp) library(rgdal) library(maps) library(gplots) library(clim.pact) library(fields) source("/R/PlotGridded2DMap.R") source("/R/image.plot.fix.R") source("/R/image.plot.plt.fix.r") seasonal_plot<-function(input,lonll=-180,latll=-90,lonres=5.,latres=3.75,write_file=TRUE,The_title=NULL){ if(is.null(The_title)){

Hi everybody, I have some problems with the function eigen. I have a square matrix and I want to calculate the eigenvalues and eigenvectors. I apply the function eigen and I get it, however when I solve the same problem in Statistica software, I realise that some eigenvectors are the opposite. How can I get the same values? Thanks in advance [[alternative HTML version deleted]]

Dear R community, I'm a beginner with Cluster Analysis. I would like to know if there is a criterion to select the best set of clusters to do this analysis. Thanks in advance, [[alternative HTML version deleted]]