similar to: read.csv : double quoted numbers

Hello; I am new to R and trying to read a line from socket connection at a time but at the end of script I am getting "closing unused connection" warning. I am not able to understand how to solve this. I want to read a line from socket and then use read.table/scan on that line but it looks like I am opening multiple connections instead of just one. I think I am doing something wrong or

Hello; I am trying following but getting a warning message : Warning in rbind.zoo(...) : column names differ, no matter whatever I do. Also I do not want to specify column names manually, since I am just writing a wrapper function around getSymbols to get chunks of data from various sources - oanda, dividends etc. I tried giving col.names = T/F, header = T/F and skip = 1 but no help. I think

Hello, I would like to read sets of files within a folder, perhaps using recursive methods. Right now, I rename the files before import. It would be even better to do this without renaming files, without providing explicit filenames, perhaps by importing files based on chronology, and translating each filename into a header? Please excuse my ignorance, and help cure my clunky programming

Hi! Probably I perform this question because I did'nt still understand the R-philosophy. I have to build many matrix, with different dimensions, and I would to assign them a same 'prefix' name, i.e. "aval", but, obviuosly different suffix, something like: for (i in 1:n) { aval%i% <- matrix(scan(data....),nrow=nr[i],ncol=nc[i] ... } where "%i%"

For the 1000 simulations, a matrix will be generated each time. And, I need to choose the first row of the generated matrix. The following loop doesn't work though: for (i in 1:1000) { aval[i]<- matrixname[1,] } Any solution? thanks!

> You have similar problems with https://reviews.llvm.org/D79100 The new revision D79100<https://reviews.llvm.org/D79100> solves your comment 1), and I don't think your comments2) and 3) apply as there are no vendor specific intrinsics involved at all here. Just to quickly discuss the optimisation pipeline, D79100<https://reviews.llvm.org/D79100> is a small extension for the

Hi Simon, Thanks for reposting the example, and looking at it more carefully, I think it is very similar to my first proposal. This was met with some resistance here because it dumps loop information in the vector preheader. Doing it this early, we want to emit this in the vectoriser, puts a restriction on (future) optimisations that transform vector loops to honour/update/support this intrinsic

Invitation accepted, I am happy to help out with reviews, like I did with the previous VP patches. And of course agreed that things should be well defined, and that we shouldn't paint ourselves in a corner, but I don't think that this is the case. And it's not that I am in a rush, but I don't think this change needs to be predicated on a big change landing first like the LV

Hi, I abandoned that approach and followed Eli's suggestion, see somewhere earlier in this thread, and emit an intrinsic that represents/calculates the active mask. I've just uploaded a new revision for D79100 that implements this. Cheers. ________________________________ From: Simon Moll <Simon.Moll at EMEA.NEC.COM> Sent: 18 May 2020 13:32 To: Sjoerd Meijer <Sjoerd.Meijer at

Hi Roger, That's a good example, that shows most of the moving parts involved here. In a nutshell, the difference is, and what we would like to make explicit, is the vector trip versus the scalar loop trip count. In your IR example, the loads/stores are predicated on a mask that is calculated from a splat induction variable, which is compared with the vector trip count. Illustrated with your

hola! quisiera saber si existe algún paquete en R para detectar cambios en la media de una serie temporal, o en su defecto cambios en la pendiente de una serie temporal. Visualmente puedo detectar ciertos años de "cambio", pero me gustaría tener un aval estadístico. Gracias! [[alternative HTML version deleted]]

Hi, I recently got a bizarre message when running arules. It just said "Killed" and quit. Anyone know why this might have happened? I am running R on an AWS quad xl ubuntu instance. Here is some information, including dataset size and the parameters: parameter specification: confidence minval smax arem aval originalSupport support minlen maxlen 0.0003581251 0.1 1 none

Hi, I am using Rattle 2.6.4 with R 2.12.2 on win64, is this a bug ? Following is the content after execute the associate analysis process: Summary of the Apriori Association Rules: Number of Rules: 23351 Summary of the Measures of Interestingness: support confidence lift Min. :0.1250 Min. :1 Min. :2.667 1st Qu.:0.1250 1st Qu.:1 1st Qu.:2.667 Median :0.1250

Hello all, I can't get stereo with wineasio, even the new verison of wineasio which I have compiled > 1.7.4. when I open an app with wine, I do see the connections in Qjack connections, but It is not in stereo Ardour can verify this, and both left and right connection are connected from wine to jack, I have googled for this answer to no aval and I have asked numerious times on IRC in

Dear all, This RFC proposes three new LLVM IR instructions to express high-level parallel constructs in a simple, low-level fashion. For this first stage we prepared two commits that add the proposed instructions and a pass to lower them to obtain sequential IR. Both patches have be uploaded for review [1, 2]. The latter patch is very simple and the former consists of almost only mechanical

<mehdi.amini at apple.com>, Bcc: Subject: Re: [llvm-dev] [RFC][PIR] Parallel LLVM IR -- Stage 0 -- IR extension Reply-To: In-Reply-To: <20170224221713.GA931 at arch-linux-jd.home> Ping. PS. Are there actually people interested in this? We will continue working anyway but it might not make sense to put it on reviews and announce it on the ML if nobody cares. On 02/24,

R Users: I'm wondering: Why does my logical vector becomes a numeric vector when stuffed into a data frame? How do I change this so that it's retained as a logical data type? I've tried a couple of things but to no avail. Here's my example code: # Exercise 4-1 in Non-Detects and Data Analysis. Dennis Helsel. 2005. # "Create two new variables in the Interval Endpoints

A quick update, we have been looking through all LLVM passes to identify the impact of "IR-region annotation", and interaction issues with the rest of LoopOpt and scalarOpt, e.g. interaction with vectorization when you have schedule(simd:guided: 64). What are the common properties for optimizer to know on IR-region annotations. We have our implementation working from O0, O1, O2 to O3.

".... the problem Mehdi pointed out regarding the missed initializations of array elements, did you comment on that one yet?" What is the initializations of array elements question? I don't remember this question. Please refresh my memory. Thanks. I thought Mehdi's question is more about what are attributes needed for these IR-annotation for other LLVM pass to understand and

> On Mar 8, 2017, at 10:55 AM, Mehdi Amini <mehdi.amini at apple.com> wrote: > >> >> On Mar 8, 2017, at 5:36 AM, Johannes Doerfert <doerfert at cs.uni-saarland.de> wrote: >> >> <mehdi.amini at apple.com>, >> Bcc: >> Subject: Re: [llvm-dev] [RFC][PIR] Parallel LLVM IR -- Stage 0 -- IR extension >> Reply-To: >>