similar to: Plotting Non Numeric Data

Dear list users, I need to learn about MCMC methods, and since there are several packages in R that deal with this subject, I want to use them. I want to buy a book (or more than one, if necessary) that satisfies the following requirements: - it teaches well MCMC methods; - it is easy to implement numerically the ideas of the book, and notation and concepts are similar to the corresponding R

I"m trying to do a custom sort in this order: 1) Numeric digit furthest right; 2) Alphabetical second furthest to the right; 3) Alphabetical the rest of the string beginning with the first character; The example code I'm using is an array that follows: /myArray <-

Hi, I've got an array, say with i,jth entry = A_ij, and a vector, say with jth entry= v_j. I would like to multiply each column of the array by the corresponding vector component, i,e. find the array with i,jth entry A_ij * v_j This seems so basic but I can't figure out how to do it without a loop. Any suggestions? Michal.

On 04/24/2013 01:29 PM, Caldarale, Charles R wrote: > Is this a potential aliasing effect? Since myarray is defined as a pointer, not an array, it's theoretically possible that the address therein refers to the same memory location as the pointer itself. I was thinking along those lines, but I haven't been able to come up with a specific instance of what could possibly be aliased.

I was suprised to find that some bitcode I'm generating isn't getting optimized. Here, I'm doing the equivalent of "myarray[5]++" (on an "extern int *myarray"), repeated three times: @myarray = external global i32* define void @update_array() #0 { %1 = load i32** @myarray, align 8 %2 = getelementptr inbounds i32* %1, i64 5 %3 = load

Dear list, this is not a particular R question but perhaps someone can help. I am running a maximum likelihood estimation (competing risk duration model with unobserved heterogeneity) on 30 different datasets. The problem is that on 2 datasets the model does not converge. I am interested if there are any methods, based on the gradients or (an approximation of) the hessian which helps to

Dear R users, I´m studying about Bayesian Statistics. In this context, please, anyone have some basic script of RJMCMC (Reversible Jump Markov chain Monte Carlo) in R or WinBUGS? My aim is to learn how to implement this methodology. Thanks a lot. Marcus Vinicius [[alternative HTML version deleted]]

I am new to R. I try to search the web but could not find the answer so I post it here asking for help. I have a csv file looks like this: (between two ==== lines) =========================== Machine Name,"Resource, Type","Resource, Sub-type","Resource, Instance",Date,,Data ->,,,,,, ,0.041666667,,,,,,,,,,, Time (HH:MM)

Hello When a call comes in, I'd like to fork a Python script that broadcasts a message so that users see the CID name + number pop up on their computer screen, and simultaneously ring their phones. The following script doesn't work as planned: It waits until the script ends before moving on to the next step, which is Dial(): =========== exten =>

Hey Guys n Gals; I have some arrays that I can't seem to expand correctly (if that's the correct word?), imagine the following example: #!/bin/bash myArray=("First" "Second" "Third") First=("Monday" "Tuesdays" "Wednesday") Second=("One" "Two" "Three") Third=("A" "B"

Hi Scott, On 24/04/13 19:40, Scott Pakin wrote: > I was suprised to find that some bitcode I'm generating isn't getting > optimized. Here, I'm doing the equivalent of "myarray[5]++" (on an > "extern int *myarray"), repeated three times: does your bitcode contain data layout information? Ciao, Duncan. > > @myarray = external global i32* >

Hi, Do any body know which packages of R I need to go for the below topics? 1. Monte Carlo Markov chain (MCMC) 2. Gibbs Sampling 3. Metropolis Hastings Thanks in advance... Shubha [[alternative HTML version deleted]]

> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] > On Behalf Of Scott Pakin > Subject: [LLVMdev] Another missed optimization opportunity? > I'm doing the equivalent of "myarray[5]++" (on an > "extern int *myarray"), repeated three times: > I had expected the three increments by 1 to > be collapsed into a single increment

The semantic reason is that the optimizer is required to assume that the i32 stores could be storing to the storage of myarray. LLVM IR does not permit optimizers to optimize based on the nominal types of memory objects or memory accesses. This gets optimized in C, because the C compiler adds special TBAA metadata annotations to the loads and stores which say that the stores of "int" do

Dear Wine-friends, I was wondering if any of you would have a clue around why WinBUGS (http://www.mrc-bsu.cam.ac.uk/bugs/), a nifty Markov chain Monte Carlo sampler widely used in Bayesian statistical modelling, no longer works when run through any version of WINE newer than 1.1.12. I have encountered this issue of my machines at home (which runs on Zenwalk 6.0) and work (Mandriva 2008.1) a

Hello, I'm new to R and work with psychometrics (Item response theory). I was using a package called "cirt" to model a data that contains only 0s, 1s and 9s. The package is basically used for Monte Carlo Markov Chain estimation of parameters and I specified 5000 iterations. The model seems to run fine but when I try to recover odds ratio statistics using the function

> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] > On Behalf Of Scott Pakin > Subject: Re: [LLVMdev] Another missed optimization opportunity? > > Is this a potential aliasing effect? Since myarray is defined as a > > pointer, not an array, it's theoretically possible that the address > > therein refers to the same memory location as

Dear R users I would like to know if there is a way to create a list or an array (or anything) which grows automatically as more elements are put into it. What I want to find is something equivalent to an ArrayList object of Java language. In Java, I can do the following thing: // Java code ArrayList myArray = new ArrayList(); myArray.add("object1"); myArray.add("object2");

Dear R users I would like to know if there is a way to create a list or an array (or anything) which grows automatically as more elements are put into it. What I want to find is something equivalent to an ArrayList object of Java language. In Java, I can do the following thing: // Java code ArrayList myArray = new ArrayList(); myArray.add("object1"); myArray.add("object2");

Hello all, I am currently attempting to replicate data from a political science article that utilized a Markov chain transition model to predict voter turnout intention at time *t*; the data was separated into two different models based on whether prior intent was to vote or not to vote. The details don't really matter. Mostly I am curious how to run a Markov chain transition model in R,