similar to: Rsync not connecting

Hi I am working on a project of replication and need to know about few options related to web page replication in Red Hat linux/Apache enviornment. I am new in Linux. The scenario: I have two apache servers running on RH Linux-8 boxes. One of my web server is the master server(146.176.165.2) and I want to make the other one as a replica(146.176.165.1) of the master one. So, I need to replicate

Hello, Here on our site we have installed rsync on two servers. Our objective is to back up on of the severs by sending it over to the server with the tapes my question is: we are using ssh through rsh and we are trying to 'pass' the password though the rsyncd.conf secret file because the password= option does not work with rsh. So.. when entering the command even when we specify the

Dear R Can you tell me how to change the working directory of R It's just that I have some text files that I wish to save separately from the R filing structure eg. into C:/my documents and need to change the working directory of R so that it reads these files . This means if I ever upgrade the current version of R nothing will be effected. brett Brett Stansfield Environmental Scientist -

> -----Original Message----- > From: Brett Stansfield > Sent: Wednesday, 19 January 2005 4:25 p.m. > To: 'S.Ganesh at massey.ac.nz' > Subject: Document1 > > <<Doc1.doc>> I was trying to get R to analyse one variable of the file > Chicken Weight. when I ask > > hist(data$weight) > R says "x must be numeric" > yet when I

Dear R help I have been trying to conduct a chi square test on two groups of variables to test whether there is any relationship between the two sets of variables chisq.test(oxygen, train) Pearson's Chi-squared test data: oxygen X-squared = 26.6576, df = 128, p-value = 1 > chisq.test(oxygen) Pearson's Chi-squared test data: oxygen X-squared = 26.6576, df = 128,

Dear R, I recently did a canonical correlation analysis on two subsets of data (location and weather). So I now have canonical scores for location and weather. but I'd now like to do a scatterplot matrix using the pairs statement. Is there a way to somehow join location.U and weather.V to become a new data set from which I could undertake a scatterplot matrix of the canonical variates?

On 2008-09-16, at 19:01, Dane Napier van Dyck wrote: > I'm trying to discern whether or not stack variables are all > accessible through ExecutionEngine.cpp . > Initially , I targeted the 'alloca' function as the source for all > stack accession data , but I think that the function is too basic : > ie , the type data may not be easily accessible from that

I need to use the Bhattacharyya distance metric to determine population separation. Has anyone written a Bhattacharyya distance metric function in R? -- View this message in context: http://old.nabble.com/Bhattacharyya-distance-metric-tp26221259p26221259.html Sent from the R help mailing list archive at Nabble.com.

The division part of the following code is not executing - (seq(n-1)*mean(XS)-cumsum(XS[seq(n-1)]))*diff(XS)/((n-1)*var(XS)) Note: Prof Yatracos: Would you please send them one example ? Thanks, Kaushik -----Original Message----- From: ripley@stats.ox.ac.uk [mailto:ripley@stats.ox.ac.uk] Sent: Friday, August 30, 2002 4:27 PM To: Kaushik Bhattacharyya Cc: r-devel@stat.math.ethz.ch;

Hello; I wrote this simple loop pass to collect the number of instructions in each loop of the program. The code is as follows- #define DEBUG_TYPE "loopinst" #include "llvm/Pass.h" #include "llvm/Analysis/LoopPass.h" #include "llvm/Support/raw_ostream.h" #include "llvm/ADT/Statistic.h" #include "llvm/Instructions.h" #include

Hi; I was playing with the -lda pass of LLVM on the following program- #include <stdio.h> void main() { int a[10]; int i; for(i = 0; i < 4; i ++) { a[i] = a[i-1]+1; } } I run the following commands - clang a.c -emit-llvm -S opt -analyze -stats -lda a.s The output is - Printing analysis 'Loop Dependence Analysis': Loop at depth 1, header block: %for.cond Load/store

Hello; I was planning to add a new instruction to the LLVM IR (and later to MIPS backend) for TLS(Thread level speculation) support. For this I tried to follow the steps described in http://llvm.org/docs/ExtendingLLVM dot html#instruction. But I could not find any llvm/lib/AsmParser/Lexer.l and llvm/lib/AsmParser/llvmAsmParser.y file in both the svn repository and the source code downloaded

Hello; I am working on porting a tool written for LLVM3.5 to LLVM10. There used to be a call instruction with the signature static CallInst * Create (Value *F, Value *Actual, const Twine &NameStr="", Instruction *InsertBefore=0) Can anyone please explain what it supposed to do? What was F and Actual? Thank you so much. -- Dr. Arnamoy Bhattacharyya R&D Compiler Engineer

Hi all, I'd like to add the Bhattacharyya method to the dist function. What is the best way to do this? I'm using R 1.9.0 and I was looking for the code that defines the already existing distances, but I didn't manage. As far as I understand, dist is defined in mva that is part of the stats package now, but where is the code? Thank you very much, Giampiero

Hello all; So here is my goal: *** If there is a Call instruction to myFunction(int * val), I need to identify all the instructions that uses val in the IR and replace the uses with a newly created pointer. I will also be changing the argument of myFunction to the new pointer. int * val = malloc/calloc; ... myFunction(val); .... *val = 45; becomes== int * val = malloc/calloc; int * val1 =

Hi, Where can I find information ( freely available on the Internet , and also books or other sources ) on how having sampling weights changes the calculation of the standard error (of means and proportions)? How good is R for this type of procedure? And SAS? thanks Robert [[alternative HTML version deleted]]

Hi, > Problem solved. I was building llvm in a separate llvm-build directory. I > built it within the llvm-src directory (which kept all the llvm .so and my > pass' .so in the llvm-src/Release+Asserts/lib directory) to solve the > problem. I do not fully understand what you mean, there should be no difference on building out of source AFAIK. > Can anyone tell me what's

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Thanks for the reply. For the source code: int main() { int a = 0; int *p; p = &a; call_arnamoy(p); int *p1; p1 = p; return 1; } The bit code: %retval = alloca i32, align 4 %a = alloca i32, align 4 %p = alloca i32*, align 8 %p1 = alloca i32*, align 8 store i32 0, i32* %retval store i32 0, i32* %a, align 4 store i32* %a, i32** %p, align 8 %0 = load i32** %p, align 8 %call = call i32

Problem solved. I was building llvm in a separate llvm-build directory. I built it within the llvm-src directory (which kept all the llvm .so and my pass' .so in the llvm-src/Release+Asserts/lib directory) to solve the problem. Can anyone tell me what's the difference between writing a pass as a "struct" (as in the tutorial) and as a "class" (as most developers do)?