similar to: robust estimation

Hello, I faced a problem with rsync-ing like this server blue 3-HD's as Linux Sofware-RAID 0 (striping) - Webserver EXT3 server green 3-HD's as Linux Sofware-RAID 0 (striping) - Backupserver EXT3 During the rsync-2.4.6-13 process one of the HD's on blue died. Though rsync decided to remove the mirrored directories from green (the backup-server). This process resulted in a partial

Hi, trying to do a robudt regression of a two-way linear model, I keep getting the following error: > lqs(obs ~ y + s -1,method="lms", contrasts=list(s=("contr.sum"))) Error: lqs failed: all the samples were singular Robust regression with M-estimators works (also regular least square fits, of course): rlm.formula(formula = obs ~ y + s - 1, method = "M",

Hi Dylan, looks ok now. One thing: the ISR is now: __vector_21: ; @__vector_21 __vector_21$local: sei push r0 push r1 in r0, 63 push r0 clr r0 push r24 lds r24, v1 sts v2, r24 pop r24 pop r0 out 63, r0 pop r1 pop r0 reti There are unneccessary push/pops of r1 and r0 too, since the clr is useless ... GCC had the same

Is there anything I can do about it? BTW: gcc is loosing the AVR backend, so I would assume, there will be a greater interest to this in llvm compared to the past. Thanks, Wilhelm Am 03.04.20 um 15:09 schrieb Wilhelm Meier via llvm-dev: > Should I create an issue in bugzilla for this? Just to be reminded ... > > Am 31.03.20 um 09:34 schrieb Wilhelm Meier via llvm-dev: >> Hi

Hey Wilhelm, That's a bug, the "interrupt" attribute is not being recognized by the backend. I have fixed it in https://github.com/llvm/llvm-project/commit/339b34266c1b54a9b5ff2f83cfb1da9cd8c9d90a Pull the latest LLVM and it should be fixed. On Tue, Mar 31, 2020 at 8:00 AM Wilhelm Meier <wilhelm.meier at hs-kl.de> wrote: > Hi Dylan, > > I used the following

Hey Wilhelm, Could you post the LLVM IR generated from your C++ file? This can be achieved with 'clang -S -emit-llvm' Cheers On Sat, Mar 28, 2020 at 6:36 PM Wilhelm Meier <wilhelm.meier at hs-kl.de> wrote: > Answering partly to myself there was a extern "C" missing. > > But the register pushes ans reti are still missing. > > Whats wrong? > > Am

I just detected, that det() is not working on complex matrices any more, due to the fix to the bug reports noted above. I am not happy with this, as determinants are perfectly usable on complex matrices. AFAIUI the bugs resulted from less than optimal behaviour of qr() in certain cases. IMHO this is due to the unhappy decision to use a default for parameter tol to decide whether the the

Hi, apologies if this is too simple but I've been stuck on the following for a while: I have a vector of strings: filenames with a name before the extension and a variety of possible extensions I want to select only those files with: 1) a ".tab" extension AND 2) the character sequence "lad" anywhere in the name of the file before the extension. Surely this

Hi Dylan, the following code volatile uint8_t v1; volatile uint8_t v2; __attribute__((interrupt)) void __vector_21(void) { v2 = v1; } produces in C mode: 00000092 <__vector_21>: 92: 80 91 61 00 lds r24, 0x0061 ; 0x800061 <v1> 96: 80 93 60 00 sts 0x0060, r24 ; 0x800060 <__data_end> 9a: 08 95 ret and in C++ mode: 00000074

Thanks! The new are of xmega3 architecture, which is already included. So this should be simple. Where is the information about ISR-vector table, SRAM addresses and so on stored? -- Wilhelm Am 04.03.20 um 11:03 schrieb Dylan McKay: > Hey Wilhelm, > > This should be possible by editing the 'AVRDevices.td' [1]TableGen > definitions to add an entry for the newer chip types.

No problem -?https://pastebin.com/G8pa3bdE <https://pastebin.com/G8pa3bdE> 6 Sep 2019, 10:28 by samba at lists.samba.org: > On 06/09/2019 09:47, gac wrote: > >> I opted for 'remove the SERVER lines' (since I don't remember why they are in there) - but this hasn't changed the behaviour. The log file contains a different error message, but still refers to the

Am 04.03.20 um 11:16 schrieb Dylan McKay: > > The new are of xmega3 architecture, which is already included. So this > should be simple. > > Where is the information about ISR-vector table, SRAM addresses and so > on stored? > > > At the moment, this is not implemented in LLVM; these details are left > to the frontend. Clang/compiler-rt does not

Hi, after looking around I was not able to get info about these two questions: 1. Is there a function to have a "jackknifed corrected var/cov estimate" (as described in MacKinnon and White 1985) in a standard OLS regression? 2. Does R possess a LAD (Least Absolute Deviation) regression function? Any help? Thanks -- ======================================================== Angelo

hi,R users, Now I have some scatter figures, is there some method can plot equalprobable error ellipse ? -- TANG Jie Email: totangjie@gmail.com Tel: 0086-2154896104 Shanghai Typhoon Institute,China [[alternative HTML version deleted]]

I opted for 'remove the SERVER lines' (since I don't remember why they are in there) - but this hasn't changed the behaviour. The log file contains a different error message, but still refers to the incorrect path --- [2019/09/06 09:43:14.955067,? 0] ../../source3/smbd/service.c:784(make_connection_snum) ? make_connection_snum: canonicalize_connect_path failed for service

hello all... i am trying to install r v2.0.1 on my suse 9.2 pro box... when i run configure, i get the following error: checking how to get verbose linking output from g77... configure: WARNING: compilation failed checking for Fortran libraries of g77... checking for dummy main to link with Fortran libraries... none checking for Fortran name-mangling scheme... configure: error:

Am 04.03.20 um 13:28 schrieb Dylan McKay: > > * *The C/C++ function needs to be declared with either the calling > convention avr-interrupt or avr-non-blocking-interrupt.* Skipping > this step will cause regular ret instructions to be emitted for > return-from-subroutine, instead of the required reti for interrupt > handlers. ISRs also have stricter

I'm trying to calculate the percent change for a time-series variable. Basically the first several observations often look like this, x <- c(100, 0, 0, 150, 130, 0, 0, 200, 0) and then later in the life of the variable they're are generally no more 0's. So when I try to calculate the percent change from one observation to the next, I end up with a lot of NA/Nan/INF, and

I'm beginning to use the AVR backend. I ran into the problem, that newer (tiny1, mega0) µC as a tiny1614 are not supported. How do I add these to the AVR backend? Thanks!

Hello, I do have two different plots from LAD and OLS regression objects like this: # LAD regression and related plot rq(formula = SBP ~ Age) f = coef(rq(SBP ~ Age)) pred = f[1] + f[2]*Age plot (Age, SBP) lines (Age, pred) # OLS regression and related plot Pred = lm(SBP ~ Age) plot (Age, SBP) lines (Age,fitted(Pred)) Well for comparatative reason I would would like to subsume both plots