similar to: If help

Hi, I have attached the data files to this note. I use this code: library(zoo) z1 <- read.zoo("baltimorefludata.txt", format = "%m/%d/%Y", header = TRUE) z2 <- read.zoo("baltimorew.txt", format = "%Y%m%d", header = TRUE) z3<-merge(z1,z2) write.table(z3, "fluweatherdata_baltimore2.txt", sep="\t") R is writing the other data

Hi, I am trying to get the following two timeseries (these are small subsets of the whole thing) into R so I can merge them using zoo. Timeseries 1=[ Date Count 9/28/2003 1505 10/5/2003 1535

Hi, I am trying to recode the output from a matrix(here is a small snippet of it): HGlt10RawPerc2008[1:20] [1] -5 0 -1 -1 0 2 3 -5 -2 0 2 0 1 -2 3 0 4 1 4 2 Here is the code I am using to recode it: HGBlt10Points2008 = recode(HGlt10RawPerc

Hi all, Yes, it's true. A new version of rehuff, the tool that losslessly compresses Vorbis files: one that is easy to compile, and that works with newer-than-two-years-ago streams, too! On 1.0 streams, you get about 3% size reduction, and the headers get _much_ smaller (which helps for fast-start network streams). Building it should be easy (you might have to add some -I and -L for

Hi all, Yes, it's true. A new version of rehuff, the tool that losslessly compresses Vorbis files: one that is easy to compile, and that works with newer-than-two-years-ago streams, too! On 1.0 streams, you get about 3% size reduction, and the headers get _much_ smaller (which helps for fast-start network streams). Building it should be easy (you might have to add some -I and -L for

Dear List, how can I obtain the value of r suqared for a non-linear model? For linear models it can be found in the summary() of the model but for non-linear models I just don't know. Please help! Anna

Hi all, During the Nov 2016 dev meeting, we had a hackers’ lab session where we discussed some issues about loop idiom recognition, IR representation and cost modelling. I took an action to write up an RFC about introducing reduction intrinsics to LLVM to represent horizontal operations across vectors. Vector reductions have been discussed in the past before, notably here:

Hi, I am trying to do a lasso regression using the lars package with the following data (see attached): FastestTime WinPercentage PlacePercentage ShowPercentage BreakAverage FinishAverage Time7Average Time3Average Finish 116.90 0.14 0.14 0.29 4.43 3.29 117.56 117.77 5.00 116.23 0.29 0.43 0.14 6.14 2.14 116.84 116.80 2.00 116.41 0.00 0.14 0.29 5.71 3.71 117.24

----- Original Message ----- > From: "Xinliang David Li" <davidxl at google.com> > To: "Cong Hou" <congh at google.com> > Cc: "Hal Finkel" <hfinkel at anl.gov>, "llvm-dev" <llvm-dev at lists.llvm.org> > Sent: Wednesday, November 25, 2015 5:17:58 PM > Subject: Re: [llvm-dev] [RFC] Introducing a vector reduction add

On Wed, Nov 25, 2015 at 2:32 PM, Hal Finkel <hfinkel at anl.gov> wrote: > Hi Cong, > > After reading the original RFC and this update, I'm still not entirely sure I understand the semantics of the flag you're proposing to add. Does it having something to do with the ordering of the reduction operations? The flag is only useful for vectorized reduction for now. I'll give

> On 8 Apr 2019, at 11:37, Simon Moll <moll at cs.uni-saarland.de> wrote: > > Hi, > > On 4/5/19 10:47 AM, Simon Pilgrim via llvm-dev wrote: >> On 05/04/2019 09:37, Simon Pilgrim via llvm-dev wrote: >>> On 04/04/2019 14:11, Sander De Smalen wrote: >>>> Proposed change: >>>> ---------------------------- >>>> In this RFC I

Hi all, While working on a patch to improve codegen for fadd reductions on AArch64, I stumbled upon an outstanding issue with the experimental.vector.reduce.fadd/fmul intrinsics where the accumulator argument is ignored when fast-math is set on the intrinsic call. This behaviour is described in the LangRef (https://www.llvm.org/docs/LangRef.html#id1905) and is mentioned in

Hi When a reduction instruction is vectorized in a loop, it will be turned into an instruction with vector operands of the same operation type. This new instruction has a special property that can give us more flexibility during instruction selection later: this operation is valid as long as the reduction of all elements of the result vector is identical to the reduction of all elements of its

Renato, can you post a hand-created vectorized IR of how a reduction would work on your example? I don’t think that recognizing this as a reduction is going to get you far. A reduction is beneficial if the value reduced is only truly needed outside of a loop. This is not the case here (we are storing/loading from the pointer). Your example is something like WRITEPTR = phi i8* [ outsideval,

Hello again, I've been meaning to follow up on this thread for the last couple of weeks, my apologies for the delay. To summarise the feedback on the proposal for vector.reduce.fadd/fmul: There seems to be consensus to keep the explicit start value to better accommodate chained reductions (as opposed to generating IR that performs the reduction of the first element using extract/fadd/insert

On 21 October 2013 17:29, Arnold Schwaighofer <aschwaighofer at apple.com>wrote: > I don’t think that recognizing this as a reduction is going to get you > far. A reduction is beneficial if the value reduced is only truly needed > outside of a loop. > This is not the case here (we are storing/loading from the pointer). > Hi Arnold, Nadav, Let me resurrect this discussion a

Hi Amara, We also had some discussions on the SVE side of reductions on the main SVE thread, but this description is much more detailed than we had before. I don't want to discuss specifically about SVE, as the spec is not out yet, but I think we can cover a lot of ground until very close to SVE and do the final step when we get there. On 31 January 2017 at 17:27, Amara Emerson via

On 05/04/2019 09:37, Simon Pilgrim via llvm-dev wrote: > On 04/04/2019 14:11, Sander De Smalen wrote: >> Proposed change: >> >> ---------------------------- >> >> In this RFC I propose changing the intrinsics for >> llvm.experimental.vector.reduce.fadd and >> llvm.experimental.vector.reduce.fmul (see options A and B). I also >> propose renaming

On Oct 23, 2013, at 3:10 PM, Renato Golin <renato.golin at linaro.org> wrote: > On 23 October 2013 16:05, Arnold Schwaighofer <aschwaighofer at apple.com> wrote: > In the examples you gave there are no reduction variables in the loop vectorizer’s sense. But, they all have memory accesses that are strided. > > This is what I don't get. As far as I understood, a

Please help me interpret the following results. The full model (Schwa~Dialect*Prediction*Reduction) was reduced via both update() and step(). The minimal adequate model is: ancova<-lm(Schwa~Dialect+Prediction+Reduction+Dialect:Prediction) Schwa is response variable Dialect is factor, two levels ("QF","SF") Prediction is factor, two levels ("High","Low")