similar to: [Bug 11650] New: temporal directory

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

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

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 >

Hi R community! I'd like to create a temporal series with ts command for the interval 1st January 2002 - 31 December 2008. I have daily values, so this is a 2557 days temporal series. I'm using this command : ts(observations, start=2002, end=2009, freq=365) However, I don't get the correct temporal series since both frequency (365 OR 366 for leap years) and deltat (1/365 OR

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.

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>

I have a dataset like this: sites years Var1 Var2 1 1960 505 3.013833 1 1961 533 4.118784 1 1962 609 14.96386 1 1963 465 -3.74409 1 1964 837 41.70164 1 1965 727 29.53478 2 1960 493 3.269235 2 1961 535 5.386015 2 1962 608 16.26244 2 1963 469 -2.09736 2 1964 830 42.01942 2 1965 715 29.92867 3 1960 489

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,

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

Dear R-listers, I would like to carry out a very basic descriptive analysis of homicides rates in Italy, taking into account both the spatial dimension (103 provinces) and the temporal dimension (10 years), but no covariates. In practice, what I would like to do is to describe spatio-temporal variation of homicide rates, identifying those combinations of province-year where the homicide rate

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'm trying to add some vertical lines to an xyplot in which x axis is a temporal variable (class=dates) and y axis a factor variable. This is my code: xyplot(factor(Abacus$Emisor)~Abacus$Dia,xlab="Date", ylab="Fish",pch=124, scales=list(x=list(format="%b %Y",tick.number=30)) , panel=function(...){ panel.xyplot(...) panel.abline(v=08/08/2008) }) I'd

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,

[cc'ing back to r-help] On Fri, Nov 18, 2011 at 4:39 PM, matteo dossena <matteo.dossena at gmail.com> wrote: > Thanks a lot, > > just to make sure i got it right, > > if (using the real dataset) from the LogLikelihood ratio test model1 isn't "better" than model, > means that temporal auto correlation isn't seriously affecting the model? yes. (or

Dear R users, I have been doing some eof analysis using princomp function, then the eof results were rotated with varimax and promax functions. Those functions are working fine. However, after their uses, I cannot find how to obtain the temporal evolution and the variance of the obtain components, as varimax and promax does not have the arguments $scores and $sdev. If any body, know how to

Hi, I've got a new dataset which I don't know how to analyze with R. My knowledge about R is limited for this kind of problem. I've tried to find a solution with some spatio temporel packages and lme/lmer functions, but didn't find any similar example. I've got 10 locations on a coast on which the number of walrus was noted. I've got a distance measure between each

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

Dear R_help list members!   I’m studding forest carnivores and I have data on resting site selection and use!   I’m trying to model the probability that a forest carnivore might have in be located in a tree hollow (1) (the main resting site selected) rather than elsewhere (0) (other resting site types, dens, nests, etc.). The model should be related with several variables such as for instance:  

Estimados usuarios de R: Tengo que hacer una desagregación temporal de una serie anual del producto interno bruto en trimestral. ¿Hay alguna forma de utilizar la librería en matlab de Quilis de desagregación temporal en R? La libreria se puede bajar de http://www.mathworks.com/matlabcentral/fileexchange/24438-temporal-disaggregation-library Saludos, Sebastián.