similar to: Choosing hardware

I'm more like a caveman when it comes to programming tools. So, with that in mind, is there a way to use readBin in a batch format to read in pieces of a large binary file? Thank you for the consideration of my question. Todd Remund

I'm trying to create a 3D plot using wireframe with certain parts removed. I would like to get rid of the part of the outer cube that crosses over the plot leaving the back two walls and the axes. It would also be useful to put lines in the plot separate from the wireframe call. I've looked through the documentation and have not been able to find such a request. Here is my code

I have obtained from transfer functions, the state space matrices for the following state space model. x* = Ax + Bu y = Cx + Du I have A, B, C, and D, now I would like to take the exogenous inputs and simulate the data using the state space model. I know there is a simulate function in the package dse1, but I am unsure as to what type of TSmodel to create to put into it. Could anyone give me

I am looking for a fast way to count the number of rows in a matrix are identical to a pattern vector. For example, if I am interested in counting the number of row vectors in a matrix that are identical to (1,2,3) what would I do? I have tried the identical statement in a loop but this is far too slow. I have a very large matrix and need to avoid loops at all costs. Thanks for any help.

I am looking for a Kalman filter that can handle a control input. I thought that l.SS was suitable however, I can't get it to work, and wonder if I am not using the right function. What I want is a Kalman filter that accepts exogenous inputs where the input is found using the algebraic Ricatti equation solution to a penalty function. If K is the gain matrix then the exogenous input

I have had a strange problem with rgl. I am currently switching from a desktop computer to a workstation. When I get a very large data set and run spectro3D, the computations run then the window with the 3d plot appears it doesn't show the data inside and immediately shuts down R. The computers have OpenGL on them, but a colleague suspects the configuration of rgl with OpenGL may be the

I know that there is a function, (spectro3D), that produces the Power Spectrogram. Are there R functions that produce the Frequency Spectrogram and the Phase Spectrogram? Thank you for your time. [[alternative HTML version deleted]]

My data is 50,000 instances of about 200 predictor values, and for all 50,000 examples I have the actual class labels (binary). The data is quite unbalanced with about 10% or less of the examples having a positive outcome and the remainder, of course, negative. Nothing suggests the data has any order, and it doesn't appear to have any, so I've pulled the first 30,000 examples to use as

I'm facing a situation where I have generated IR that only needs to be executed once. I've noticed for simple IR it's faster to run the interpreter on it, but for complex IR it's much better to JIT compile and execute it. I'm seeking suggestions for a good heuristic to decide which approach to take for any given IR. I'm leaning in favor of deciding based on the

On 08/11/2014 04:21 AM, David Chisnall wrote: > Hi Josh, > > On 9 Aug 2014, at 21:33, Josh Klontz <josh.klontz at gmail.com> wrote: > >> I'm facing a situation where I have generated IR that only needs to be executed once. I've noticed for simple IR it's faster to run the interpreter on it, but for complex IR it's much better to JIT compile and execute it.

I am considering obtaining a PC to host Samba as a home media server. The server will hold: * music files (about 6000, mostly mp3) * images (about 4000, mostly jpg) * the odd video (about 15, mostly music videos) It will be used to stream media to no more than 5 PCs (i.e. one in the living room to handle 'My Picture' slideshows, and playing music files, etc). Most of the

Hi, I am having trouble understanding how to approach a simulation: I have a sample of n=250 from a population of N=2,000 individuals, and I would like to use either permutation test or bootstrap to test whether this particular sample is significantly different from the values of any other random samples of the same population. I thought I needed to take random samples (but I am not sure how

From: Jyri Sarha <jsarha at ti.com> This bug happens quite often when resampling from a low to a high sample-rate with big enough factor. Also the resampling call has to be limited by the output buffer size and some unused samples needs be left in the input buffer. Sometimes when up-sampling with a big factor the resampling function wants to peek one more sample from the input buffer to

Hello R-listers! My first post to the list is a very simple one for those who use the software continuosly. I am trying to understand the fixed-x resampling and random-x-resampling method proposed by Fox about Bootstrapping. The doubt that I have is on the side of the model run in one of the functions expressed for fixed-x resampling. What I don't understand is: X=model.matrix, and the -1

I want to use caret to build a model with an algorithm that actually has no parameters to find. How do I stop it from repeatedly building the same model 25 times? library(caret) data(mdrr) LOGISTIC_model <- train(mdrrDescr,mdrrClass ,method='glm' ,family=binomial(link="logit") ) LOGISTIC_model 528

Dear list, I would like to export a matrix to a TXT-File by using write.csv (not necessarily). Is there a way to add a header (with additional informations concerning the project) spanning multiple lines to this file before the actual data are listed up? Should look like this: date: filename: number of permutations: ------------ data (as a matrix) Any suggestions? Thnx in advance.

I have fit a model with a more complex covariance structure, but the fit reports a false convergence. I have read from past posts that this can be an indication of over-specification. I went ahead and fit a model with a simpler covariance structure. It doesn't seem like I can compare the two likelihoods or the AIC or BIC to compare the two model since the one model had false convergence.

Hi, I am new to R (I have most of my experience in SAS and SPSS). I was wondering if anyone has used both Resampling Stats and R, and could comment on strengths/relationships. Also, I have no clue on how to do the various examples from the book "Resampling: The New Statistics" in R. Can anyone give me some possible starting points? Or websites/books? Thanks, Brandon

Suppose I have a small dataframe > aa Target Eaten ID 50 TPP 0 1 51 TPP 1 2 52 TPP 3 3 53 TPP 1 4 54 TPP 2 5 50.1 GPA 9 1 51.1 GPA 11 2 52.1 GPA 8 3 53.1 GPA 8 4 54.1 GPA 10 5 And I want to reshape it into ID TPP GPA 1 1 0 9 2 2 1 11 3 3 3 8 4 4 1 8 5 5 2 10 I realise that

I wish to perform moving tiles bootstrap resampling on some gridded data meteorological data. I've many years experience with S-Plus, but it has no way to perform a moving-tiles bootstrap. Within R I've learned how to use quadratresample() with the spatstats package and would be happy to simply use empirical percentiles if generating the replicates were fast, but it isn't. So,