search for: systematical

Dear all, Here is a little coding problem. It falls in the category of "how can I do this efficiently?" rather than "how can I do this?" (I know how to do it inefficiently). So, if you want to take the challenge, keep reading, otherwise just skip to the next post - I won't be offended by that ;-) I am coding a particle filter and I want to use systematic resampling to

...owever, I don't want to use sample() because it does it randomly. I would like to take non-random subsamples, for example, every 2nd number, or every 3rd number. Is there a procedure that does this? Thanks, Nate -- View this message in context: http://r.789695.n4.nabble.com/Subsetting-data-systematically-tp3618516p3618516.html Sent from the R help mailing list archive at Nabble.com.

Hi, I am quite new to R and in need of some advice. I am trying to conduct a meta regression over a some studies with about 7 mod variables which I have to dummy encode. I have found the following piece of code in the manual for the metafor library: ### manual dummy coding of the allocation factor alloc.random <- ifelse(dat$alloc == "random", 1, 0) alloc.alternate <-

I have a collection of functions, class definitions and methods which I would like to test systematically for their correctness after changes to their code, and also after major R revisions. I believe that the correct term for these systematic tests (as opposed to more informal tests) is a 'test suite'. Does anyone [apart from Pat Burns :-) ] have code, or templates, or specific suggestions...

...<saggak1908@yahoo.co.in> wrote: From: saggak <saggak1908@yahoo.co.in> Subject: How to learn R language? To: r-help@r-project.org Date: Wednesday, 27 August, 2008, 3:37 PM Hi! I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view e.g. I need to fit distributions to data or run regression analysis etc. No doubt there are so many articles available on internet. But can someone guide me as to how do I begin and go on improving myself SYSTEMATICALLY? Hence, please gui...

Hi! I am a post graduate in Statistics. I want to learn R language, but am very confused as to how to begin systematically. I need to learn R language from Statistics point of view e.g. I need to fit distributions to data or run regression analysis etc. No doubt there are so many articles available on internet. But can someone guide me as to how do I begin and go on improving myself SYSTEMATICALLY? Hence, please gui...

Hi R people: I am new to R. I am writing a function to (1) produce a sparse stochastic Gaussian 2D field and (2) perform a systematic transect sampling on this field, this carried out many times in a simulation framework. My function does a good job at producing the random field (a matrix of zeros and some manifestations of the stochastic process, depending on a parameter of the function

The attached patch provides a modification to the recent fix/improvement to do_grep already included in the most recent development version. The original fix added new functionality to the grep function by adding a new parameter, 'invert'. In the source code for the underlying do_grep, the value of the parameter is used to invert the logical match-no match flag vector ind. The

Hi everyone. After lurking for a while, this is my first post to the list. I am working with some graduate students on the general topic of compiler support for SIMD programming and specific projects related to LLVM and my own Parabix technology (parabix.costar.sfu.ca). Right now we have a few course projects on the go and already a question arising out of one of them (SSE2 Hoisting).

Consider the Assay data where block, sample within block and dilut within block is random. This model can be fitted with (where I define Assay2 to get an ordinary data frame rather than a grouped data object): Assay2 <- as.data.frame(Assay) fm2<-lme(logDens~sample*dilut, data=Assay2, random=list(Block = pdBlocked(list(pdIdent(~1), pdIdent(~sample-1),pdIdent(~dilut-1))) )) Now, block

Is it possible to fit a structural equation model with link functions in R? I am trying to build a logistic-regression-like model in sem, because incorporating the dichotomous variables linearly seems inappropriate. Mplus can do something similar by specifying a 'link' parameter, but I would like to be able to do it in R, ofcourse. I have explored the 'sem' package from John Fox,

I am wondering whether there is a well-accepted approach to handling missing values (NA's) in a programming language such as R. For example, most functions seem to propagate NA to the output when the value of the missing entry could have mattered. In other words, most functions are not willing to "take a stand" on what the missing value was. However, some functions

Hi Eric, We may have our first user (Tomas, CC'd) of the rate filter to limit NBD connections. As you recall it lets you do commands like: nbdkit --filter=rate memory size=64G rate=10M to limit network bandwidth to 10 Mbps. However a twist is that he needs to vary the parameter while nbdkit is running in response to a UI, and we haven't really thought about that before. In the

The Virus controllers wouldn't let me send the attachment... ----- Original Message ----- From: "Trevor Fraser" <trevor@systematic.co.za> To: "Tommy Eriksson" <tommy.eriksson@ctakt.com> Cc: <samba@lists.samba.org> Sent: Tuesday, September 10, 2002 6:32 PM Subject: Re: [Samba] Problem joing a W2KSP1 client to a Samba PDC (2.2.5). > Hi Tommy. > >

Hi all, Is there a way to study the lead and lag relation of two time series? Let's say I have two time series, At and Bt. Is there a systematic way of concluding whether it's A leading B or B leading A and by how much? Thanks!

I am comparing the efficacy of two filtering techniques on a simulated time series that has random and systematic errors. As the data is simulated, I know the frequencies and amplitudes that generate the systematic noise. I'm looking for a way to compare the techniques in a simulation framework - i.e., I will generate many instances of the time series varying the parameters, perform the

I am now writing an R code to do the systematic permutation test and the random permutation test. And I encountered a couple of problems which I cannot figure them out. At first, whenever I type "permtest" in my R2.6.1, it always shows:"there is no such a function", I tried again and again and eventually I found I have to use "library (BHH2)" before I use

.... The interface documentation is here: http://yziquel.homelinux.org/topos/api/ocaml-r/Rmath.html For instance, for the norm_rand symbol, I have the following documentation comment: > val norm_rand : unit -> float > Random variates from the standard normal distribution. Bug: currently systematically returns -8.77332116900134373. Any idea as to why the function systematically returns the same value? Is there a way the math library should be initialised? All the best, -- Guillaume Yziquel http://yziquel.homelinux.org/

https://bugs.freedesktop.org/show_bug.cgi?id=101665 Bug ID: 101665 Summary: lspci blocks forever with a GP107M Product: xorg Version: unspecified Hardware: Other OS: All Status: NEW Severity: normal Priority: medium Component: Driver/nouveau Assignee: nouveau at

Hello, Vector y is an alphabetically sorted version of vector x. Will both samples, X and Y, be "absolutely" random or will they have systematic differences? And: Should I sort or shuffle a vector before sampling? Thank you, *S* x <- as.factor(LETTERS[sequence(10:1)]) y <- sort(x) X <- sample(x, 5) Y <- sample(y, 5) -- Sascha Vieweg, saschaview at gmail.com