similar to: Samba and NIS

Hi everybody, I've been looking for information on "how to create administrative shares", but I didn't find... Can you help me on this matter? Regards, -- Benilton Carvalho DE / IMECC / UNICAMP Red Hat Linux i18n Team

Hi everyone, sorry if this was discussed before (and in this situation, could you please point me to the discussion in the archive? My search didn't seem to be effective). Is there a way of getting the names of objects in a .rda file without having to load it? Thank you very much, benilton -- PhD Candidate Department of Biostatistics Bloomberg School of Public Health Johns Hopkins

Hi all, working on the problem that I cannot log in from my NT4 box I noticed that: - Test 8 from DIAGNOSIS.TXT fails: from the NT machine I try: "net view \\server" and I have: "System error 5 has occurred. Access denied" I don't know how to handle this... Could you please help me? Regards, -- Benilton Carvalho DE / IMECC / UNICAMP Red Hat Linux i18n Team

Hi everyone, say I have a function called 'foo', which takes the argument arg1. Is there any mechanism that I can use to "learn" about the variable where foo(arg1) is going to be stored? For example: x <- foo(arg1) so, inside foo() I'd like to be able to get the string "x". if, foo(arg1) was used insted, I'd like to get NA. thank you very much, b

Hi everyone, For reasons beyond the scope of this message, I'd like to append a NULL element to the end of a list. tmp0 <- list(a=1, b=NULL, c=3) append(tmp0, c(d=4)) ## works as expected append(tmp0, c(d=NULL)) ## list with a/b/c only Given that I could use tmp0$a <- NULL to remove 'a', I seem to understand why appending NULL returns me the original list... But how should I

Hi Everyone, After searching the subject and not being successful, I was wondering if any you could explain me the idea behind the following fact: all(NULL == 2) ## TRUE any(NULL == 2) ## FALSE Thanks a lot, Benilton -- Benilton Carvalho PhD Candidate Department of Biostatistics Johns Hopkins University

Hi to all, I found in the R-help archive how to calculate the p-value for a gee result: http://finzi.psych.upenn.edu/R/Rhelp02a/archive/74150.html but there are two questions (I am afraid they are basic questions ...) 1. why is the result multiplicated with 2 2. how could I decide between lower.tail =TRUE and FALSE: example:

I need to read in csv files, created by 3rd party, with fields containing single quotes (as shown below). "header1","header2","header3","header4" "field1r1","field2r1","field3r1","field4r1" "field1r2","field2r2","field3r2PartA), field3r2PartB Very" Long","field4r2"

Hi Everyone, Given the scenario I have, I was wondering if anyone would be able to give me a hind on how to get the results from hubers() in a more efficient way. I have an outcome on an array [N x S x D]. I also have a factor (levels 1,2,3) stored on a matrix N x S. My objective is to get "mu" and "sigma" for each of the N rows (outcome) stratified by the factor

Dear all, Happy new year! I posted a very similar question a few days ago, but probably too cluttered. Here is a tidy, minimal version: I want to make a package, with a data.frame d and a function f given below. Now, the function f needs to use the data.frame d. I could (and that's what I've done temporarily) make a local duplicate of this data.frame in the function definition,

Hi everyone, I have 2 environments (2 different R sessions) as described below: Session 1: Name of the environment: "CrlmmInfo" Objects in the environment: index1: logical index - length 238304 index2: logical index - length 238304 priors: list of 4 - (matrix 6x6, 2 vectors of length 6, vector of length 2) - all num params: list of 4: centers [238304 x 3 x

Hi everyone, I have 2 environments (2 different R sessions) as described below: Session 1: Name of the environment: "CrlmmInfo" Objects in the environment: index1: logical index - length 238304 index2: logical index - length 238304 priors: list of 4 - (matrix 6x6, 2 vectors of length 6, vector of length 2) - all num params: list of 4: centers [238304 x 3 x

Hi there, Some days ago I've sent a mail talking about some problems printing from a Windows machine to a printer installed on a Linux server (running CUPS 1.1.19 and SAMBA 2.2.7) What was happening is when I send a page to be printed, I way 15/20 secs per page. I've installed the network printer with the correct HP drivers. After trying a LOT of stuff, I've installed the

Hi, I have a BioC infra-structure package that works fine (I can build, check and load it successfully) on revision r53950. The very same package fails on r54591 with the error below: Error in loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) : cyclic name space dependency detected when loading ?oligoClasses?, already loading ?oligoClasses? I don't see anything

Hi, I'm working on a package and observed a behaviour that was suggested to be incompatible with the documentation. The code below: x <- matrix(1:4, 2) dimnames(x) <- list() works just fine. But checking the documentation for dimnames(), it states that if value is a list "its components are either 'NULL' or a character vector with positive length of the appropriate

Hi, First of all, I apologize for sending out this message, as I'm sure the answer is on the archives, but I just can't find it. Not long ago, there was a discussion about building Windows packages from the source code and someone posted a link to a website to which we could submit the source and get the Windows version a while later. Could someone point me to that website or to

Hi, what is the proper of of "passing a missing value" so I can extract the entire i-th row of a matrix (in a list of lists) without pre-computing the number of cols? For example, if I know that the matrices have 2 columns, I can do the following: set.seed(1) x0 <- lapply(1:10, function(i) replicate(4, list(matrix(rnorm(10), nc=2)))) lapply(lapply(x0, '[[', 3), '[',

Hi, I have a long list of lists from which I want to efficiently extract and rbind elements. So I'm using the approach below: f <- function(i){ out <- replicate(5, list(matrix(rnorm(80), nc=20))) names(out) <- letters[1:5] out } set.seed(1) lst <- lapply(1:1.5e6, f) (t0 <- system.time(tmp <- do.call(rbind, lapply(lst, '[[', 'b')))) Is there

Hi, I'm working on an S4 class that is expected to behave like an array. I have some difficulties when defining '[' and I wonder if someone could point me to the right direction: 1) Call the S4 object "obj" 2) Assume dim(obj) = c(10, 4, 2) 3) Suppose someone calls: obj[1:3,] , which is a mistake, given dim(obj); how do I detect such situations? Thank you very much for

Hi Everyone, I want to generate some random numbers according to some empirical distribution. Therefore I am looking for the inverse of an empirical cumulative distribution function. I haven't found any in R. Can anyone give a pointer? Thanks, Geoffrey _______________________________________________________=0A= =0A= =0A= The information in this email or in any file attached