similar to: netCDF to TIFF

I'm stumped, can anyone find my error in this sequence. for(j in 1:(varsize[4]-1)) temp <- get.var.ncdf(nc=input, varid="p_foraging",c(1,1,j),c(varsize[1],varsize[2],1)) filled.contour(x, y, temp, color = terrain.colors, plot.title = title(main = paste("Everglades Wood Stork Foraging Potential \nYear", (2000+j)), xlab =

Hi everyone, I am a newbie in R and in this discussion list. I am trying to use R package "ncdf" to read values of temperature from a NCDF file. I did it before to another file using the function "get.var.ncdf", but now there is an error that I can not solve, and I would really appreciate if you could help me. I am using R version 2.11.1 (2010-05-31) in a machine with Linux

Hello R-Group I found how to fill the data.frame -> http://finzi.psych.upenn.edu/R/Rhelp02a/archive/70843.html N1 <- rnorm(4) N2 <- rnorm(4) N3 <- rnorm(4) N4 <- rnorm(4) X1 <- LETTERS[1:4] ################### nams <- c(paste("N", 1:4, sep = ""), "X1") dat <- data.frame(lapply(nams, get)) names(dat) <- nams dat But I need also to create

On Thu, Nov 12, 2015 at 8:42 PM, Kostya Serebryany <kcc at google.com> wrote: > 2 questions: > - Do you see this with the fresh llvm trunk? > - Can you prepare a minimized example? Pretty recent, I updated a couple days ago. I tried to minimize the attached but at the same time I didn't want to lose too many unions and casts in case it didn't trigger any more. $ clang

summary: I can successfully ncvar_put(...) data to a file, but when I try to ncvar_get(...) the same data, I get > Error in if (nc$var[[li]]$hasAddOffset) addOffset = nc$var[[li]]$addOffset else addOffset = 0 : > argument is of length zero How to fix or debug? details: R code @ https://github.com/TomRoche/GEIA_to_NetCDF successfully (if crudely) uses R packages={ncdf4, maps, fields}

How to programmatically (i.e., without no or minimal handcoding) copy a netCDF file? (Without calling > system("cp whatever wherever") :-) Why I ask: I need to "do surgery" on a large netCDF file (technically an I/O API file which uses netCDF). My group believes a data-assimilation error caused a data variable to be corrupted in a certain way, so I'm going to

i use library(ncdf) to read this file as follow library(ncdf) sst.nc = open.ncdf(title) lonall = get.var.ncdf(sst.nc,'lon') latall = get.var.ncdf(sst.nc,'lat') precip = get.var.ncdf(sst.nc,'pre') close(sst.nc) if i use this method my pc freeze and not respond until i restart it is there -- View this message in context:

I would appreciate * guidance regarding translation of IDL routines to R, generally * assistance translating two IDL routines to R, specifically Why I ask: I'm slowly learning how to do atmospheric modeling. One language that has been been popular in this space is IDL http://en.wikipedia.org/wiki/IDL_(programming_language) which unfortunately is proprietary (not to mention butt-ugly, IMHO

Goodmorning to everyone, I'm new so sorry for bad english and formulation. I go to the point: I am using since months the retrieve.nc function from clim.pact to extract data from netcdf files. I always had no problem, but some days ago I updated both R and the package to the latest versione (don't ask me what was the previous R version, cause I don't remember). However, now i am in

I'm struggling to explain an ASAN report I'm now getting that I didn't get previously on the same code. In fact the report only happens with -O2 and not when I remove the -O flags which makes it hard to debug and makes me suspect it's dependent on exactly which instructions the code generation decides to access the bytes involved. Afaict the C code shouldn't be accessing the

Dear R Users, I am encountering a problem when reading nc files into R using the ncdf and ncdf4 libraries. The nc files are too large to attach an example (but if someone is interested in helping out I could send a file privately via an online drive), but the code is basic: for(i in 1:length(thesenames[,1])){ data <- nc_open(paste(INDIR, thesenames[i,c("wholename")],

On Fri, Apr 22, 2016 at 1:32 AM, Louise Mair <louise.mair at slu.se> wrote: > Dear R Users, > > I am encountering a problem when reading nc files into R using the ncdf > and ncdf4 libraries. The nc files are too large to attach an example (but > if someone is interested in helping out I could send a file privately via > an online drive), but the code is basic: > ?[...]?

Hello, I have a problem writing a variable to an existing file. Below is a part of my script and how it fails. I can't find "create.var.ncdf" in help Thanks for any help. Mark nc <- open.ncdf(ncname, readunlim=FALSE, write=TRUE ) missing <- 1.e+30 xdim <- nc$dim[["west_east"]] ydim <- nc$dim[["south_north"]] tdim <- nc$dim[["Time"]]

Dear All, Can anyone please let me know how exactly ncdf deals with NaN. I am trying to pass in a vector of data that has some NaN in it, into a variable in NetCDF. dimX <- dim.def.ncdf("X","count",(1:6)) dimY <- dim.def.ncdf("Y","count",(1:3)) var1 <-

Hello, I'm doing the following: library(ncdf) library(fields) library(animation) saline <- open.ncdf("salinity_1990.nc") salt = get.var.ncdf(nc=saline, varid="Salinity") # create an animation of the complete temporal domain in the ncdf file. saveHTML({ for (i in 1:364) { image.plot(salt[, , i]) } }, img.name = "salinity.img",

Happy 1999! I've been celebrating the holidays by (finally) getting to the port of our S+ NetCDF routines to R, which I'm trying to make into a library. At the moment, there are two issues I'd appreciate advice on: 1. Is support for mode "single" data planned anytime soon in R? A lot of our NetCDF files contain "single" data and having to coerce into

Ok, here's what I think we should release as 1.17. I plan on doing that in a few days (Monday? Tuesday?), unless there's some good reason not to. Let me know if there's some critical (i.e. crashing) fixes that I've missed somehow. And, again, I think we can run a shorter 1.18 cycle, given the pent-up list of fixes. Sorry for not getting this wrapped up sooner. Turns out that

Dear Colleagues: Through your help an R related installation issue was resolved, but I now have the following usage issue. On any "get.var.ncdf" usage I am seeing: Error: in routine alloca() there is a stack overflow: thread 0, max 535822282KB, used 0KB, request 24B The same error is posted on a file as small as 50MB and as large as 500GB, with ulimit set to unlimited. I

I have a large dataset (questionnaire results) of mostly categorical variables. I have tested for dependency between the variables using chi-square test. There are an incomprehensible number of dependencies. I used the chaid() function in the CHAID package to detect interactions and separate out (what I hope to be) the underlying structure of these dependencies for each variable. What typically

Hi List, I am looking for a variable selection procedure with a forward-backward selection method. Firstly, it is meant to work with the cophenetic correlation coefficient (CPCC) and intended to find the variable combination with the highest cophenetic correlation. Secondly, it is aimed at Gower metric with wards method (though this could be easily extended) aimed at categorical data. What I