similar to: repeatedly applying function with matrix-rows as argument

Dear R-users, I have conducted an experiment with a 2*2*2 factorial within-subjects design. All factors are binary and the dependent measure is a frequency of successes between 0 and 4. Treating this as a normally distributed variable, I would perform a repeated-measures ANOVA as follows: > aov(y ~ A*B*C + Error(subj/(A+B+C))) but since the distribution of the dependent measure is clearly

Dear all, I'm trying to access the Sums of Squares resulting from a summary(aov(....)) so I can use them in a function. Is there an easy way to access these? The structure of a summary.aov object is something like this: > str(summary(fhc.aov)) List of 5 $ Error: PPNR :List of 1 ..$ :Classes anova and `data.frame': 1 obs. of 5 variables: .. ..$ Df : num 70 .. ..$

Hello, I've been enjoying using the "Mixture and Hidden Markov Models in R" by Visser & Speekenbrink to learn how to apply these analyses to my own data using depmixS4. I currently have a fitted 4-state mixture model with three emissions variables and one binomial covariate (HS). I am trying to compute confidence intervals using the following code, where fmms4s is the model:

On Tue, 30 May 2023 17:43:31 +0000 Heather Lucas <hlucas2 at lsu.edu> wrote: > Hello, > > I've been enjoying using the "Mixture and Hidden Markov Models in R" > by Visser & Speekenbrink to learn how to apply these analyses to my > own data using depmixS4. > > I currently have a fitted 4-state mixture model with three emissions > variables and one

Hi List, I'm pretty new to IceCast and I've got a question, Is it possible to limit the amount and types of streams (mountpoints) a user creates? Scenario: I've got several users (say 10), that I want to be able to stream through my server. But to limit the bandwith costs I'd like to limit the amount of data they stream. - The mount specific options will allow me to

NOTE: I replied to him in person instead of on this list. My mistake, here is the mail again, for the record. Rakotomandimby (R12y) Mihamina wrote: > On Wed, 2005-02-09 at 00:31 +0100, Rakotomandimby (R12y) Mihamina wrote: > > >> Hello, >> > > > Have you got some examples? what tags, parameters and values should I > use, in what section ? > > >

depmixS4 has reached some form of maturity and therefore we have bumped its version number to 1.0-0 which is now on CRAN: http://cran.r-project.org/web/packages/depmixS4/index.html depmixS4 fits hidden (latent) Markov models of multivariate, mixed categorical and continuous data, otherwise known as dependent mixture models. Responses or observations can be modeled using GLMs, and additionally

depmixS4 has reached some form of maturity and therefore we have bumped its version number to 1.0-0 which is now on CRAN: http://cran.r-project.org/web/packages/depmixS4/index.html depmixS4 fits hidden (latent) Markov models of multivariate, mixed categorical and continuous data, otherwise known as dependent mixture models. Responses or observations can be modeled using GLMs, and additionally

Dennis Speekenbrink wrote: > Does your server have enough continuous throughput to keep up? I know it's not related to bandwidth/CPU/memory issues, at least not directly. Consider the following: I've been running tests where I've set up more than one instance of streamTranscoder - all running on the same machine as the Icecast server and with identical config files - to

Dear all, I have a result my experiment like this below (here my toy example): foo1 <- list() foo1[[1]] <- c(10, 20, 30) foo1[[2]] <- c(11, 21, 31) foo2 <- list() foo2[[1]] <- c(100, 200, 300) foo2[[2]] <- c(110, 210, 310) foo3 <- list() foo3[[1]] <- c(1000, 2000, 3000) foo3[[2]] <- c(1100, 2100, 3100) list(foo1,foo2,foo3) The result: > list(foo1,foo2,foo3) [[1]]

Thank you very much for your useful suggestions. These are exactly what I was looking for. foo <- list(foo1, foo2, foo3) lapply(foo, function(x) matrix(unlist(x), nrow = length(x), byrow = TRUE)) or lapply(foo, function(x) do.call('rbind', x)) Best, Muhammad Subianto On 4/11/06, Muhammad Subianto <msubianto at gmail.com> wrote: > Dear all, > I have a result my experiment

I have a general style question about R coding. Suppose I'm writing a function (foo1) that calls other functions (foo2, foo3, ...) which have complicated argument lists (e.g. optim(), plot()), _and_ I may be calling several different functions in the body of foo1. Since foo2 and foo3 have different sets of arguments, I can't just use "..." ; I did write some code a while ago

Dear List: In short, I am writing a number of functions as building blocks for other functions and have some questions about scoping and passing arguments. Suppose I have functions foo1, foo2, and foo3 such that: foo1<-function(a=1,b=TRUE,c=FALSE){#do stuff}; foo2<-function(x=1,y=FALSE,z=c(1,2,3,4)){#do stuff}; foo3<-function(lambda,...){lambda*foo1()*foo2()}; I want to be able to

Hi Ahmad, What does that tool does besides what LLVM linker already does? I don't think my problem is in linking both modules, I think LLVM linker does the job for me, the issue is when changing the called function to call another function (in the example previously provided, to change it from foo2 to foo3, and adjusting the function parameter's references). Regards, Daniel Moya El

Hello and thanks for the answer, I'm still facing issues, I'll do my best to explain my situation, as I explained, I have two modules, each one with its own main and functions, I would like to replace in the *oldModule* a function call that is calling *foo2* (defined in *oldModule*) to instead call *foo3*, which is defined in the *refModule. *So in summary, I have: 1. The original

Hi Philip, The error happens when the program finishes and it automatically calls the destructors, so it is not an error specifically inside my program. Here's the full code: #include "llvm/ExecutionEngine/ExecutionEngine.h" #include "llvm/ExecutionEngine/MCJIT.h" #include "llvm/IRReader/IRReader.h" #include "llvm/Support/TargetSelect.h" #include

Thank you Ahmad, I figured out that, although the type of both p(oInst) and p(nInst) were the same, I had to: for (unsigned int i = 0; i < callOInst->getNumArgOperands(); i++) { callOInst->getArgOperand(i)->mutateType(callNInst->getArgOperand(i)->getType()); } that solves the issue at the calling instruction in the main function, but now I see that *linkModules* does not work

Hello LLVM Developers, I'm trying to replace a function defined in one module into another module (different files). The first issue I ran into was that llvm::Function does not have a method "moveBefore" or "moveAfter" as the llvm::BasicBlock or llvm::Instruction do, so I figured I would just move the BasicBlocks of the replacing function into the function that was being

Hi Philip, Thanks for the reference, I was able to follow it and copy the code that I saw necessary, but I still have some issues (references are still not updated). I created the function: void populateVMap(llvm::ValueToValueMapTy &VMap, llvm::Function *fOld, llvm::Function *fNew) { llvm::Function::arg_iterator DestI = fOld->arg_begin(); for (llvm::Function::const_arg_iterator J =

Hi Philip, Thank you very much for your answer, the vector declaration example worked. I'm pretty sure the ValueToValueMapTy is the last thing I need because I even saw there is another function that could help me llvm*:*:RemapFunction <http://llvm.org/doxygen/namespacellvm.html#addf0183e92893bdbcde00fc9091dda93>; but my problem is that I don't know how to populate the