similar to: leap years in temporal series command ts

Hola a todos: La pregunta ha quedado clara en el asunto, pero: ¿existe alguna función que convierta un objeto temporal (TS) a matriz o data.frame? En algunos cálculos que estoy haciendo me viene bien convertir un objeto temporal a matriz para poder hacer cálculos parciales por meses o años (aplicando apply en la matriz) pero no he encontrado ninguna función que haga la conversión. He

hello, i cant find a solution on this (might be) easy problem: i have a time serie by carlandar weeks, so for every carlendar week i have a value. now i would like to use the functions for time series, so i change structur to a time serie with cam <- ts(number,start=c(2001,1),deltat=7/365) or cam <- ts(number,start=c(2001,1),frequency=52) the problem on it is, that 2004 had 53 calendar

Hello All, I am trying to do the time series analysis in R and I want to assign a vector as a time series. The data I provided is hourly. The data is from Jan 1 2008 to Dec 31 2009. How can I assign the data such that the first year is leap year and second is not ? airtemp <- read.csv("airtemp.csv",header=T,sep="") aw <- ts(airtemp,start=2008,frequency=8784,end=2009)

im trying to write a for loop so that every leap year, the number of days becomes to 366 instead of 365. could someone help me out? and also, this set of data has 99.99s I set all the 99.99 ==NA. however, when im doing the order function to find the max value of that year, it still reads 99.99 as the max value. Thank you very much maxday <- matrix(NA,63,5) for (a in 1948:2010){

Hola, Si no te entiendo mal, necesitas la conversión a matriz como paso intermedio para agregar por meses (o cualquier unidad temporal). Si es así, te aconsejo que uses el paquete zoo y el método aggregate para la clase zoo. Por ejemplo: library(zoo) dats <- data.frame(date=seq(as.Date('2012-01-01'), by='day', length=3*365), A=rnorm(3*365),

Hi, I am getting unexpected behaviour from aggregate.ts(). The 'ndeltat' argument is effectively being reduced by 1 in some cases, even when it is an integer, with the result that the blocks to be aggregated are not of the expected size, and also that the end() of the aggregated series is much later than the end() of the original series. rawts <- ts(rep(1:10, each = 5), start = 1) ##

Hi I am still having problems with using the stl function, when I read the csv file into R into a file called tkr and use dim(tkr) the result is 132 1 which is fine. When coerce it into a trime series using ts either: tstkr <- ts(t(tkr), deltat=1/12) or tstkr <- ts(c(tkr), deltat=1/12) and use the stl function I get the following error: Error in

Hi, I have imported a csv file into R which contains one column (the rate er 100,000 population of a disease, by month over 11 years) I coerced into a time series using the following function, tstkr<-ts(tkr,deltat=1/12) This seems to work fine, and when I check for the class of the object using class(tstkr) I get "ts" as the response. When I try to use the stl function in

Estimado Rubén Gómez Antolí En mi caso en particular al trabajar con fechas, me encontré con inconvenientes, algunos de ellos fueron mejorados en R, hoy estoy desactualizado, pero creo que en el siguiente lugar http://cran.r-project.org/web/views/TimeSeries.html hay referencia actualizada, esperando que en esta encuentre lo que necesite lo saludo muy atentamente. Javier Marcuzzi

Hello, My work deals with non-temporal loads and stores i found non-temporal meta data in llvm documentation but its not shown in IR. How to get non-temporal meta data? -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20180120/7dd4ba6f/attachment.html>

On 20/01/2018 17:44, hameeza ahmed via llvm-dev wrote: > Hello, > > My work deals with non-temporal loads and stores i found non-temporal > meta data in llvm documentation but its not shown in IR. > > How to get non-temporal meta data? llvm\test\CodeGen\X86\nontemporal-loads.ll shows how to create nt vector loads in IR - is that what you're after? Simon.

On 20/01/2018 18:16, hameeza ahmed wrote: > Actually i am working on vector accelerator which will perform those > instructions which are non temporal. > > for instance if i have this loop > > for(i=0;i<2048;i++) > a[i]=b[i]+c[i]; > > currently it emits following IR; > > >   %0 = getelementptr inbounds [2048 x i32], [2048 x i32]* @b, i64 0, > i64 %index

On 01/20/2018 12:29 PM, hameeza ahmed via llvm-dev wrote: > i have already seen usage of __builtin_nontemporal_store but i want to > automate identification of non temporal loads/stores. i think i need > to go for a pass. is it possiblee to detect non temporal loops without > polly? Yes, but we don't have anything that does that right now. The cost modeling is non-trivial,

Actually i am working on vector accelerator which will perform those instructions which are non temporal. for instance if i have this loop for(i=0;i<2048;i++) a[i]=b[i]+c[i]; currently it emits following IR; %0 = getelementptr inbounds [2048 x i32], [2048 x i32]* @b, i64 0, i64 %index %1 = bitcast i32* %0 to <16 x i32>* %wide.load = load <16 x i32>, <16 x i32>* %1,

Dear All, I have a collections of spatial data. I have to analyze pairs of these point patterns to test their spatial interaction. I was moving towards the cross K Ripley's function. The problem, however, are the following: 1) What is the best way to get a single real value that represents the interaction "power"? 2) How to obtain a value that even allows me to rank the pairwise

Hi, I'm wondering why the spectrum() phase of quadrature couple isn't purely +/-pi. But mostly, I'm looking for a recommended way to take a 2-D spectrum and convert it into a single complex array. Kindly consider: # 10 Hz sine wave 10 seconds long sampled at 50 Hz deltaT = 1/50 t = seq(0, 10, deltaT) w = 2 * pi * 10 x = ts( sin( w * t ), deltat = deltaT ) y = ts( sin(

Hi JF, Philip, Clang currently has __builtin_nontemporal_store and __builtin_nontemporal_load. How will the usage model for those change? Thanks again, Hal ----- Original Message ----- > From: "Philip Reames via llvm-dev" <llvm-dev at lists.llvm.org> > To: "JF Bastien" <jfb at google.com>, "llvm-dev" > <llvm-dev at lists.llvm.org> >

i have already seen usage of __builtin_nontemporal_store but i want to automate identification of non temporal loads/stores. i think i need to go for a pass. is it possiblee to detect non temporal loops without polly? On Sat, Jan 20, 2018 at 11:26 PM, Simon Pilgrim <llvm-dev at redking.me.uk> wrote: > On 20/01/2018 18:16, hameeza ahmed wrote: > > Actually i am working on vector

On 01/14/2016 04:05 PM, Hans Boehm via llvm-dev wrote: > > > On Thu, Jan 14, 2016 at 1:37 PM, JF Bastien <jfb at google.com > <mailto:jfb at google.com>> wrote: > > On Thu, Jan 14, 2016 at 1:35 PM, David Majnemer > <david.majnemer at gmail.com <mailto:david.majnemer at gmail.com>> wrote: > > > > On Thu, Jan 14, 2016 at 1:13

On Wed, Jan 13, 2016 at 10:32 AM, John Brawn <John.Brawn at arm.com> wrote: > *What about non-x86 architectures?* > > > > Architectures such as ARMv8 support non-temporal instructions and require > barriers such as DMB nshld to order loads and DMB nshst to order stores. > > > > Even ARM's address-dependency rule (a.k.a. the ill-fated >