similar to: A problem in allocation of vector of size

I have a question about the basis functions of cubic regression spline in mgcv. Are there some ways I can get the exact forms of the basis functions and the penalty matrix that are used in mgcv? Thanks in advance! Yan [[alternative HTML version deleted]]

Full_Name: Viktor Moravetski Version: Version 1.2.0 (2000-12-13) OS: Win-NT 4.0 SP5 Submission from: (NULL) (209.128.81.199) I've started R (v.1.20) with command: rgui --vsize 450M --nsize 40M Then at the command prompt: > gc() used (Mb) gc trigger (Mb) Ncells 358534 9.6 41943040 1120 Vcells 3469306 26.5 58982400 450 >df <- data.frame(x=1:30000,y=2,z=3)

when i try to do the following in a action render :js => "window.close();" wont work it still response in the browser,but the window wont close. i dont know why.thx! -- *愿爱与喜悦心与你同在! 石岩敬上 大连东软信息学院 计算机系软件工程应用方向 Dalian NEUSOFT Institute of Information 中国-大连市软件园路8号 邮编：116023 **Mail:hlcfan.yan-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org*

Is it possible to have rsync order transfers by file size (smallest files first) ? Would it be a big patch ? Thanks Viki

Hi, all I am trying to get the basis matrix and penalty matrix for natural cubic splines. In the "splines" package of R,"ns" can generate the B-spline basis matrix for a natural cubic spline. How can I get the basis matrix and penalty matrix for natural cubic spline. Thanks a lot! Lee [[alternative HTML version deleted]]

Dear R users Say I wanted to read a vector into R as multi-dimensional array by row, e.g. a<-c(1:20) > b<-array(a,dim=c(2,5,2)) > b , , 1 [,1] [,2] [,3] [,4] [,5] [1,] 1 3 5 7 9 [2,] 2 4 6 8 10 , , 2 [,1] [,2] [,3] [,4] [,5] [1,] 11 13 15 17 19 [2,] 12 14 16 18 20 But actually I wanted... [,1] [,2] [,3] [,4] [,5]

On 19 Jun 2020, at 17:56, Ralph Campbell wrote: > Transparent huge page allocation policy is controlled by several sysfs > variables. Rather than expose these to each device driver that needs to > allocate THPs, provide a helper function. > > Signed-off-by: Ralph Campbell <rcampbell at nvidia.com> > --- > include/linux/gfp.h | 10 ++++++++++ > mm/huge_memory.c |

R-help I'm trying to compute the 'dist' function of a data set consisting of 16975 observations and 5 variables(2 quantitative and 3 categorical). If I call the function on a subset of the data frame everything works fine but when I reach above 3000 observations R either crash or gives the following error message. Error: cannot allocate vector of size 1125522 Kb In addition: Warning

Hi, all I want to choose same knots in GAM for 10 different studies so that they has the same basis function. Even though I choose same knots and same dimensions of basis smoothing, the basis representations are still not same. My command is as follows: data.gam<-gam(y~s(age,bs='cr',k=10)+male,family=binomial,knots=list(age=seq(45,64,length=10))) What is my mistake for choice of

Lets say I have a vector as follows xx<-rnorm(20) How could I find the indices of the vector<0? Thanks Meir ******************************************** Meir Preiszler - Research Engineer I t a m a r M e d i c a l Ltd. Caesarea, Israel: Tel: +(972) 4 617 7000 ext 232 Fax: +(972) 4 627 5598 Cell: +(972) 54 699 9630 Email: pmeir@itamar-medical.com Web: www.Itamar-medical.com

Hi, I would like to try using a Support Vector Machine on a classification problem that I'm dealing with. Does such a package exit in R? Thanks Meir ******************************************** Meir Preiszler - Research Engineer I t a m a r M e d i c a l Ltd. Caesarea, Israel: Tel: +(972) 4 617 7000 ext 232 Fax: +(972) 4 627 5598 Cell: +(972) 54 699 9630 Email: pmeir@itamar-medical.com

llvm-dev, I'm trying to get a better understanding of sub-registers. I'm seeing the code generator make an odd decision that I was hoping someone could point me in the right direction of explaining. The architecture is 68000, which has 8, 16, and 32 bit views of all of it's data registers. In order to zero extend you can load a big view with zero, and then copy into the small view.

Here's a reworked patch to mark instructions and operands as vector or scalar. It uses TableGen to infer the flags from types, allowing the user to override with a "let isVector = 0" clause. I decided to forego classifying MachineMemOperands for now in the interests of getting this piece in. I still think we should add type information to MachineMemOperands. Why throw away

Hi, there, I have 5 datasets. I would like to choose a basis spline with same knots in GAM function in order to obtain same basis function for 5 datasets. Moreover, the basis spline is used to for an interaction of two covarites. I used "cr" in one covariate, but it can only smooth w.r.t 1 covariate. Can anyone give me some suggestion about how to choose a proper smoothing spline

On Dec 4, 2009, at 2:44 PM, David Greene wrote: > Here's a reworked patch to mark instructions and operands as vector > or scalar. > It uses TableGen to infer the flags from types, allowing the user to > override > with a "let isVector = 0" clause. > > I decided to forego classifying MachineMemOperands for now in the > interests of > getting this

Roland Scheidegger <sroland <at> vmware.com> writes: > This looks quite similar to something I filed a bug on (12312). Michael > Liao submitted fixes for this, so I think > if you change it to > %16 = fcmp ogt <4 x float> %15, %cr > %17 = sext <4 x i1> %16 to <4 x i32> > %18 = bitcast <4 x i32> %17 to i128 > %19 = icmp ne i128 %18, 0

rsync --delete option tells rsync to delete extraneous files from the receiving side (ones that aren't on the sending side).But if a user accidentally deletes a file, there is no way to restore it from the server.If --delete option is not used, and the local hard disk is destroyed, restored data will include old deleted files. Is there a way for rsync server to retain backup of deleted source

(Complete newbie to dovecot. I hope what follows isn't something I've missed in some FAQ somewhere...) On a traditional UNIX filesystem with UW-IMAP several years ago, we encountered major performance problems when "/var/spool/mail/" got big (we would currently be ~20,000 entries). This was due to the inefficiency of the UNIX filesystem when creating and deleting the lockfiles

Just a quick point which may be easy to correct. Whilst typing the wrong thing into R 2.2.1, I noticed the following error messages, which seem to have some stray quotation marks and commas in the list of available families. Perhaps they have been corrected in the latest version (sorry, I don't want to upgrade yet, but it should be easy to check)? > glm(1 ~ 2,

Hal, Thanks for the reply. I am trying to understand the underlying concern. That means the inlining of a callee without unsafe-fp-math attribute set will block the unsafe optimization in its caller, right? Thanks, Yan From: Finkel, Hal J. [mailto:hfinkel at anl.gov] Sent: Tuesday, December 4, 2018 11:34 AM To: Yan Luo <yan.luo2 at synopsys.com>; llvm-dev at lists.llvm.org Subject: Re: