similar to: logistic regression with temporal correlation

[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

Despite lots of investigation, I haven't found any R packages might be suitable for the following problem. I'd be very grateful for suggestions. I have three-way nested data, with a series of measures (obs) taken in quick succession (equal time spacing) from each subject on different days. The measures taken on the same day are temporally correlated, so I'd like to use an AR1

hi there say that i have this table >x<-table(adoc, oarb) >x oarb 0 1 adoc ab 1 0 am 5 1 ba 14 1 cc 271 3 ch 87 2 dz 362 6 fl 7 0 fs 84 2 is there an easy way to get the row names or row

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>

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

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

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.

Can anyone point me in the right direction of figuring out what downweight() is doing? I am using vegan to perform CCA on diatom assemblage data. I have a lot of rare species, so I want to reduce the influence of rare species in my CCA. I have read that some authors reduce rare species by only including species with an abundance of at least 1% in at least one sample (other authors use 5% as a

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,

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

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

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 01/20/2018 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,

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.

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 Jan 5, 2010, at 1:09 AM, Chandler Carruth wrote: >>>>> Consider that 'memset' to zero is often codegened to a non- >>>>> temporal >>>>> store to memory. This exempts it from all ordering considerations Hm...off topic from my original email since I think this is only relevant for multithreaded code... But from what I can tell, an

Hello, I created a data.frame which contains two columns: df$P (Power) et df$DateTime (time). I'd like to add a new column df$diffP (difference of Power between T and T-2). I made a loop : for (i in 3:length(df$DateTime)){ df$diffP[i] = df$P[i] - df$P[i-2] } execution time result is unaceptable: 24s !! Is there any way to reduce complexity about O(n) ? for example 2 or 3s (10s maxi)

Hello all, I've been wondering why Clang doesn't generate non-temporal stores when compiling the STREAM benchmark [1] and therefore doesn't yield optimal results. It turned out that the Loop Vectorizer correctly vectorizes the arithmetic operations and also merges the loads and stores into vector operations. However it doesn't add the '!nontemporal' metadata which would

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> >

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