similar to: [LLVMdev] alignment checking in isSafeToEliminateVarargsCast

Hello Uwe First, I want to thank you for spending your time replying to my mail. I'm very impressed with the speed that my question was answered. I'm new at R (about two weeks) and reading your mail made me realize that it was indeed a question of vectors of different lengths. I thinked that I could create a function ("carfun") without creating a "x" vector, since

Hello, I am still working at recovering from a few failed OS hard drives on my gluster storage and have been removing, and re-adding bricks quite a bit. I noticed yesterday night that some of the directories are not visible when I access them through the client, but are still on the brick. For example: Client: # ls /scratch/dw Ethiopian_imputation HGDP Rolwaling Tibetan_Alignment Brick: #

I was testing ocfs2 on a 2 node cluster set up. ocfs2-tools version is 1.6.3 ocfs2 kernel version is 2.6.36 Using cman on 2 nodes node02 dw # ping_pong -rwm /data/test.dat 3 data increment = 2 14 locks/sec node01 dw # ping_pong -rw /data/test.dat 3 data increment = 2 10 locks/sec node02 dw # ping_pong -r /data/test.dat 3 1980 locks/sec Using cman on 1 node node02 dw #

Hi all, I am doing a two-sided DW test: H0: rho = 0 H1: rho =/= 0 My understanding is that most test statistics tables are one-sided. It's the way they created the table. So from online, by doing Googling, I found a bunch of DW tables for Confidence Level 5%. Those tables can answer my two-sided question at 5x2 = 10% confidence level. But what if I want two-sided test at 1% and 5%

Hello everybody. I would like to pose a question regarding a warning message after running a function of my own. The function I created for computing the p-value of the dw statistic has a command line like this: »dwf0 <- function(dw,eigen) { carfun <- function(x) { (prod(1+2*(eigen-dw)*1i*x)^(-1/2)-prod(1-2*(eigen-dw)*1i*x)^(-1/2))/(1i*x) } ; 1/2+integrate(f=carfun,lower = 0,upper =

I'm fitting generalized linear mixed models to using several fixed effects (main effects and a couple of interactions) and a grouping factor (site) to explain the variation in a dichotomous response variable (family=binomial). I wanted to compare the output I obtained using PROC GLIMMIX in SAS with that obtained using lmer in R (version 2.6.1 in Windows). When using lmer I'm specifying

Hi Dariusz, Hans, I can apply the dw-hdmi patches if necessary. Neil On 19/08/2019 11:38, Hans Verkuil wrote: > Hi all, > > The patches in this series can be applied independently from each other. > > If you maintain one of these drivers and you want to merge it for v5.4 > yourself, then please do so and let me know. If you prefer I commit it > to drm-misc, then please

Hi, I have two time series, y and x. Diff(y) and Diff(x) both show no autocorrelation. But durbin.watson(lm(Diff(y)~lag(Diff(x),k=-4)) gives a DW value of zero. How come the residule is autocorrelated while Diff(y) and Diff(x) are not? Does anyone know if in my case a DW of zero indicates serial correlation, or is it telling me that the DW statistics is not the appropriate statistics to use here?

Hello all, I am trying to run a simulation. the simulation presented below. > rep=5 > sr=.10 # selection ratio > pmin=.10 # minority ratio > nap=1000 # total number of applicant > nsle=sr*nap # number of ee selected > nb=nap*pmin # number of minority > nw=nap-nb # number of majority > mb=100 # mean minority > sb=15 # sd minority > mw=100 # mean majority > sw=15 #

I am performing a binary classification using a classification tree. Ironically, the data themselves are 2483 tree (real biological ones) locations as described by a suite of environmental variables (slope, soil moisture, radiation load, etc). I want to separate them from an equal number of random points. Doing eda on the data shows that there is substantial difference between the tree and random

[HVM] Pick up SMBIOS entry point in the ROMBIOS. Signed-off-by: Andrew D. Ball <aball@us.ibm.com> diff -r 1d817bfc5ed9 tools/firmware/rombios/rombios.c --- a/tools/firmware/rombios/rombios.c Fri Aug 11 14:22:54 2006 +0100 +++ b/tools/firmware/rombios/rombios.c Fri Aug 11 14:55:22 2006 -0400 @@ -9443,6 +9443,43 @@ rom_scan_increment: mov ds, ax ret +#ifdef HVMASSIST + +; Copy the

(Sent to linux-raid, linux-kernel and ext3-users since I'm not sure what type of issue this is) I've got a test system here running Redhat 7.1 + stock 2.4.9 with these patches: http://www.fys.uio.no/~trondmy/src/2.4.9/linux-2.4.9-NFS_ALL.dif http://www.zip.com.au/~akpm/ext3-2.4-0.9.6-249.gz http://domsch.com/linux/aacraid/linux-2.4.9-aacraid-20010816.patch All three patches applied

Is it consistent to have a Pass instance's run method's implementation use getAnalysisIfAvailable<AnalysisType>() (vs just using getAnalysis< AnalysisType >) when that same instance's getAnalysisUsage(AnalysisUsage &au) implementation invokes au.addRequired<AnalysisType>()? For example in the implementation of SelectionDAGISel::runOnMachineFunction(...) (called

On Thu, Nov 29, 2018 at 09:46:16AM +0100, Andrzej Hajda wrote: > Quite late, hopefully not too late. > > > On 21.11.2018 12:51, Ville Syrjälä wrote: > > On Wed, Nov 21, 2018 at 01:40:43PM +0200, Jani Nikula wrote: > >> > >>> return; > >>> diff --git a/drivers/gpu/drm/bridge/sil-sii8620.c b/drivers/gpu/drm/bridge/sil-sii8620.c >

Some additional fields from the EDD-4 spec. draft for the Device Parameter Table have been added into the structure in setup.c and memdisk.inc. These were added in the hopes of resolving a FreeDOS MEMDISK bug on IBM ThinkPads. --- memdisk/memdisk.inc | 11 +++++++++++ memdisk/setup.c | 10 ++++++++++ 2 files changed, 21 insertions(+), 0 deletions(-) diff --git a/memdisk/memdisk.inc

On Wed, Nov 21, 2018 at 01:40:43PM +0200, Jani Nikula wrote: > On Tue, 20 Nov 2018, Ville Syrjala <ville.syrjala at linux.intel.com> wrote: > > From: Ville Syrjälä <ville.syrjala at linux.intel.com> > > > > Make life easier for drivers by simply passing the connector > > to drm_hdmi_avi_infoframe_from_display_mode() and > >

Hello list, I have a problem with an NFS server for my network. It has ran kernels 2.4.18-ac4 - 2.4.21-ac1, all with problems. The -ac patches are used to provide the new style quota support. The system seems to have gotten even less stable with the new kernel versions. This morning around 5 am, I got a page the system was unresponding to NFS requests. I ssh'd in, and found the loadavg

After a year my R programming style is still very "C like". I am still writing a lot of "for loops" and finding it difficult to recognize where, in place of loops, I could just do the same with one line of code, using "sapply", "lapply", or the like. On-line examples for such high level function do not help me. Even if, sooner or later, I am getting my R

Hi, I ran an experiment with 3 factors, 2 levels and 200 replications and as I want to test for residuals independence, I used Durbin-Watson in R. I found two functions (durbin.watson and dwtest) and while both are giving the same rho, the p-values are greatly differ: > durbin.watson(mod1) lag Autocorrelation D-W Statistic p-value 1 -0.04431012 2.088610 0.012 Alternative

Hello. I have the following object which is a list of length NumSim with each entry being a matrix of dimensions Ncurvas x 3: dW = replicate(NumSim,cbind(rnorm(Ncurvas),rnorm(Ncurvas),rnorm(Ncurvas)),simplify=F) I would like to transform it into an array of dimension Ncurvas x 3 x NumSim. Does anybody does how to do this? or how to generate directly and array composed of independent random