similar to: where does R search when source()?

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

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

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

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

I have found the use of save( ) and attach( ) when supported by a pair of functions written by my colleague John Miyamoto, move( ) and rm.sv( ) quite useful in managing (1) collections of useful homebrew functions, (2) project workspaces, and (3) "packages" under development. An .Rdata file containing these and other handy functions together with a brief supporting document can be

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 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

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

Dear all, I would like to generate bi-variate normal data given that the first column of the data is known. for example: I first generate a set of data using the command, x <- rmvnorm(10, c(0, 0), matrix(c(1, 0, 0, 1), 2)) then I would like to sum up the two columns of x: x.sum <- apply(x, 1, sum) now with x.sum I would like to generate another column of data, say y, that makes

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

Sorry, my question is if exists a command tkexit in R, i need a command how exit of tcl for close an aplication. How to use him. Thank

c:proj/proj1> bundle install Fetching source index for http://rubygems.org/ Could not find sprockets-2.0.0.beta.10 in any of the sources C:proj/proj1> C:proj/proj1>gem install sprockets -v=2.0.0.beta.10 ERROR: Could not find a valid gem ''sprockets'' (= 2.0.0.beta.10) in any reposito ry ERROR: Possible alternatives: sprockets C:proj/proj1>gem install sprockets

On Sun, 11 Jul 2004, Gabor Grothendieck wrote: > search.path <- > function(fn, > paths = strsplit(Sys.getenv("PATH"), split = ";")[[1]], > fsep = "\\") { > for(d in paths) { > f <- file.path(d, fn, fsep = fsep) > if (file.exists(f)) > return(f) > } > return(NULL) > } >

Dear R-helpers, I have found a slightly annoying problem when trying to plot lines on graphs. I first created my data using tapply, thus:- y1=as.vector(fit1$coef$random$id) x1=tapply(o1,id,median,na.rm=T) x2=tapply(o2,id,median,na.rm=T) #then I plot the data, thus:- plot(x1[x2==0],y[x2==0]) #if I now try to fit the linear regression, R 'hangs up'

Hi Samba Guru's... I have a problem connecting from a windows NT workstation to Samba server. It is working fine for Windows XP and Windows 2000. Samba not logging any information about that Windows NT m/c. Here i am giving the smb.conf file. Please try to help me to work it for Win NT also. Here is my Configuration file. Thanks in advance for any help. # Global Parameters [global]

Let's move this to llvm-dev. I should describe my goals/motivation for the work I have been putting into the llvm-testsuite lately. This is how I see the llvm-test-suite today: - We provide a familiar cmake build system so people have a known environment to tweak compilation flags. - Together with the benchmark executable we build a .test file that describes how to invoke the benchmark and

Hi R users, I am a newbie and therefore the naive question. Sorry but I was unable to find an answer online. I would like to read 47 data sets (country1.raw, country2.raw, ... country47.raw) and save into a matrix each time (data1, data2, ....data47). for (i in 1:47){ data(?) <- read.csv(file.path("country", i, ".raw", fsep = ""), header = TRUE) } The read.cvs