similar to: A package to read and write NetCDF?

I am curious if there is any way to list only variables or functions in current environment, rather than listing all objects? Thanks. -- Daehyok Shin (Peter) Geography Department Univ. of North Carolina-Chapel Hill

I am curious if there is any way to list only variables or functions in current environment, rather than listing all objects? Thanks. -- Daehyok Shin (Peter) Geography Department Univ. of North Carolina-Chapel Hill

Exactly where does R search for foo.R if I type source("foo.R")? Only from current working directory (same as getwd()), from all directories specified by e.g. $PATH? Thanks. Daehyok Shin

Exactly where does R search for foo.R if I type source("foo.R")? Only from current working directory (same as getwd()), from all directories specified by e.g. $PATH? Thanks. Daehyok Shin

The interface for dates in R is a little confusing to me. I want to create a vector of Date objects from vectors of years, months, and days. One solution I found is: years <- c(1991, 1992) months <- c(1, 10) days <- c(1, 2) dates <- as.Date(ISOdate(years, months, days)) But, in this solution the ISOdate function converts the vectors into characters, which can cause serious

What happens when I pass an array to a dynamically linked C routine? Is only its reference copied when an array is passed and returned? Or, is its whole content copied? In R extension manual, I found the following description. But, I can't know exactly which is true. "There can be up to 65 further arguments giving R objects to be passed to compiled code. Normally these are copied before

I try memory.size function to find out available memory size, but surprisingly R complains it can't find the function. ?memory.size also failed. Is it not in the base library? If so, why can't my R find it? I am using the binary 1.9.0 version for Mandrake 9.1. Thanks in advance. Daehyok Shin Terrestrial Hydrological Ecosystem Modellers Geography Department University of North

When I tried the following commands, I got a strange message. > x<-data.frame(y=c(1:10)) > plot(x$z) Error in xy.coords(x, y, xlabel, ylabel, log) : x and y lengths differ "The data frame, x, does not have a field named z." may be better user-friendly message for this kind of common error. Daehyok Shin

When I tried the following commands, I got a strange message. > x<-data.frame(y=c(1:10)) > plot(x$z) Error in xy.coords(x, y, xlabel, ylabel, log) : x and y lengths differ "The data frame, x, does not have a field named z." may be better user-friendly message for this kind of common error. Daehyok Shin

Hi! I have been coding a C-program which will read data from the netCDF format (a commonly used file format in the geophysical research community: see Unidata's URL for explanation: http://www.unidata.ucar.edu/packages/netcdf/), and have got to the point where I don't know what the error message mean. The C-program is called nc2r.c. When compiling the code, I get a number of warnings,

Has anyone experimented with the Network Common Data Format (netcdf) described at http://www.unidata.ucar.edu/packages/netcdf for archiving data? Is this format widely used outside of atmospheric research? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

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}

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

I am handling spatial data of huge volumes, so sensitive to the silent duplication of data in script programs. In the following R program, exactly when is the vector data deeply copied? Thanks in advance. 1 v <- 1:10000 2 z <- f(v) --------- function f ---------- 3 f <- function(x) { 4 y = x 5 y[10] = 1 6 xf = date.frame(x=x) 7 xf$x[10] = 1 8

Saludos estimados usuarios ! Estoy recién iniciándome en R y no he encontrado ejemplos de cómo graficar los archivos netcdf que genera el modelo meterológico WRF. ¿Alguien tiene por ahí algunos scripts que me permitan ir interiorizándome en el uso de paletas de colores, mapas y graficas de variables de este modelo? Anteriormente lo hacía vía GrADS, convirtiendo el NetCDf a GRIB, pero con las

While installing my small package, I met a tricky problem. For clarity, let me explain it with the following simplified example. In ~/pkg/R/aclass.R, setClass("aclass", contains="bclass", representation(i="numeric")) In ~/pkg/R/bclass.R, setClass("bclass", representation(j="numeric")) After building a "pkg" package, the file

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

What's the preferred way in R for handling samples with binary data (like chemical fingerprints encoded as hexadecimal strings with 0's and 1's indicating the absence or presence of chemical features) in methods such as clustering and MDS. Do you always have to expand the fingerprint data into individual variables (which can be a few hundreds) or can they be used directly as binary

Dear R communities Could you please help me with the problem I encounter while trying to install the ncdf package? download.packages("ncdf", "/home/user/soft/R/library/") cd /home/user/soft/R/library R CMD INSTALL ncdf_1.6.tar.gz # fail sudo R CMD INSTALL ncdf_1.6.tar.gz # fail cd /home/user/soft/ # download

Hi, I've been playing with R for only a few days, so I'm not terribly familiar with it yet. Has anyone ever done any work using HDF or NetCDF files with R? Both file formats have libraries which can be linked to a program to read and write data to these formats. Is this sort of thing possible with R? We are planning to use the HDF format to store experimental data collected by some