similar to: tkexit

Hi. I'm trying to install a new package. I'm a relatively long-time (though not advanced) R user and have never seen this error before. For the first example, I tried a few different CRAN mirrors. In the second example, the file does exist; I downloaded it from the CRAN website for the package and pasted in the name exactly a few different times to make sure it was right. >

I want to eliminate certain observations in a large dataframe (21000x100). I have written code which does this using a binary vector (0=delete obs, 1=keep), but it uses for loops, and so it's slow and in the extreme it causes R to hang for indefinite time periods. I'm looking for one of two things: 1. A document which discusses how to avoid for loops and situations in which it's

I have a question for our European readers: how common is it to use commas as decimal points in spread-sheet and statistics applications? Is it an inconvenience to require that all data use a period as decimal point? (i.e., 3.14159 rather than 3,14159). We're trying to make our program as foolproof as possible, and would prefer not to give users a chance to have commas as both decimal

Hi. I want to use R with very large files, a couple hundred megabytes, but R crashes every time that I try. Reading help files seems to indicate that R ought to manage its memory itself. I know I have enough memory since stata handles these files perfectly well. I have a mac running OS 10.3 and am running RAqua 1.8.1. Is there anything I can do to make it deal with these files successfully?

How does one put quotes within quotes, if it's possible? I've tried replacing one set of the quotes by single quotes. If it's not possible, is there any way to do the following? > cmd <- "read.dta" > opt <- "convert.factors=FALSE" > data.file <- " file="/full/path/name.dta" " > eval(call(cmd,data.file,opt)) Prior to

I hope someone here knows the answer to this since it will save me from delving deep into documentation. Based on 22 pairs of vectors, I have noticed that tetrachoric correlation coefficients in stata are almost uniformly higher than those in R, sometimes dramatically so (TCC=.61 in stata, .51 in R; .51 in stata, .39 in R). Stata's estimate is higher than R's in 20 out of 22

The R documentation for some of the foreign package's functions says that the set of variable labels becomes attributes in the resulting data frame. Thus, e.g., 5="strongly agree", 4="agree", etc. I'm happy that the labels are being passed, but unfortunately, when R summarizes the data, it will list it only as categories, and doesn't deal with the

Windows (both XP and 98) seems to have a problem with our GUI, written using R's tcl/tk package. When we open another window, and then return to the GUI, the GUI has old pieces of text left from the previous windows and/or places which are cut off where a window had been. Also, when it computes something, the window will often decide to move itself over for no apparent reason, so it moves

Hi. I have an ibook G3/800 running 10.2.4, with Mac's X11. Up until a few days ago, R was working fine but recently it stopped working. The error I get is: dyld: /usr/local/lib/R/bin/R.bin version mismatch for library: /usr/lib/libncurses.5.dylib (compatibility version of user: 6.0.0 greater than library's version: 5.0.0) Trace/BPT trap which seems to imply that it wants a higher

Dear all, I get a strange error when I find polychoric correlations with the ML method, which I have been able to reproduce using randomly-generated data. What is wrong? I realize that the data that I generated randomly is a bit strange, but it is the only way that I duplicate the error message. > n<-100 > test.x<-rnorm(n, mean=0, sd=1) > test.c<-test.x + rnorm(n, mean=0,

Hi. Does anyone know whether the following error is a result of a bug or a feature? I can eliminate the error by making ML=F, but I would like to see the values of the cut-points and their variance. tmp.vec<-c(0, 0, 0 , 0 ,0 , 1, 0, 2, 0 , 0, 5 ,5 ,3 ,1, 0 , 1, 5, 10, 27, 20, 9, 0, 1, 1, 12, 29, 57, 34, 0, 0, 1, 2, 11, 31, 32) tmp.mat<-matrix(tmp.vec, nrow=7)

I'm in the very initial stage of expanding the formula processing in my quantile regression function rq() to handle additive nonparametric components, say qss(x), or qss(x,z). I need some advice about strategy for formula processing. My initial foray was to use: terms(formula,specials="qss") and then modify the components of the resulting terms.object. But in changing formula

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) > } >

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

Hi, i have been running R 2.11 compiles with the goto blas libraries successfully for about a year. I am running Ubuntu 10.10 64 bit. However, recently I have been periodically getting a segfault when running R (and numpy -- also compiled against goto blas). When I check the dmesg error log I get the following message R[28792]: segfault at 7f4183ed4000 ip 00007f4196f05f03 sp 00007f4192d55d20

Hi I had a few test shares  created and they were working fine. Users could read or write depending on the windows group that was defined on the share. I have since removed the test shares and created the file structure needed and setup the smb.conf file with the share names.  I have also setup the groups and assigned them to the respective directories.  Problem is the users can connect to

I am choosing a file like this: #Bring up file selection box fn<-file.choose() fp<-file.path(fn,fsep='\\') Unfortunately, the file path contains the short file name and extension as well. I had hoped to get only the path so I could make my own long filenames (for output graphs) by concatenation with this file path. Of course I can split the string and assemble the components from

I am reading a list of numbers from my clipboard, and have been successful, except I can't make a histogram as R doesn't recognize my variable as numeric. I know I need to use "as.is", but the specifics escape me. I have used x<-read.table("clipboard", header=F) to import from a txt file. How do make this numeric? Thanks, J.

Hi I've been running Samba 2.x for years but decided to move up to 3.0.2. I've set up a new samba server with a workgroup NEWBIOSS and netbios name PARETO. Im having problems setting up my domain admins. I used 'net groupmap modify "Domain Admins" unixgroup=domadmin' my 'net groupmap list' shows : System Operators (S-1-5-32-549) -> -1 Replicators

Hi all, i'm sure there is an easy way to do this, but i'm stumped, so any help would be appreciated. i have a single column of data for precipitation every 15 minutes over a year. i want to sum the precip to daily data. so the first 96 records = the first day, the second 96 records = the second day, and so on.... is there a way to write a for loop that would sum the data to daily, and