search for: pathologically

Dear R Users, I have a question based on my research. I am analyzing reader-based diagnostic data set. My study involves diabetic patients who were evaluated for treatable diabetic retinopathy based on the presence or absence of two pathologies in their eyes. Pathologies were identified using the clinical examination (Gold standard method). In addition it can be identified by taking digital

Folks, I wonder if anything could be said about the distribution of a random variate x, where x = N(0,1)/N(0,1) Obviously x is pathological because it could be 0/0. If we exclude this point, so the set is {x/(0/0)}, does x have a well defined distribution? or does it exist a distribution that approximates x. (The case could be generalized of course to N(mu1, sigma1)/N(mu2, sigma2) and one

Appdb entry (http://appdb.winehq.org/objectManager.php?sClass=application&iId=8352) I'm trying to get all my games to run under linux, but of cause a few are giving me problems, and Pathologic is one of the few that really bothers me. As far as I can tell, the game uses DirectX9, Windows Media format (cinematics), and OpenAL. Of the three, the WMF dependency is the most annoying, as it

I''ve been seeing read and write performance pathologies with Linux ext3 over iSCSI to zvols, especially with small writes. Does running a journalled filesystem to a zvol turn the block storage into swiss cheese? I am considering serving ext3 journals (and possibly swap too) off a raw, hardware-mirrored device. Before I do (and I''ll write up any results) I''d like to know

Author: perrin Repository: /hg/zfs-crypto/gate Revision: a593e64c4739242e2eb3a43ea296996000af0c2d Log message: 6413731 pathologically slower fsync on 32 bit systems Files: update: usr/src/uts/common/fs/zfs/sys/zil.h update: usr/src/uts/common/fs/zfs/zil.c

Ubuntu-10.04, x86, stock. I''m running into a situation where a server goes pathological. Basically, it becomes excruciatingly slow. I can get things through the file system, but a simple file touch can take 6 - 12 hours. Top shows various btrfs processes hard at work - typically 100% of a cpu, (four cpu server), and the machine shows a load of just over 4. Some flush-btrfs, some

Hello: I use R with MAC I have a simple data table, numeric and text columns, named dt. The table is imported through read.csv from a csv file. Row numbers are automatically assigned, header is set to TRUE. there are 599 rows and several columns. I am trying to plot using the stripchart command: one numeric variable (say dt$fnatg) vs a text column (say dt$pat). dt$pat contains one of 3 values:

Hi, I was wondering if I might be able to ask some advice about doing residual plots for the lmer function in the lme4 package. Our group's aim is to find if the expression staining of a particular gene in a sample (or "core") is related to the pathology of the core. To do this, we used the lmer function to perform a logistic mixed model below. I apologise in advance

On Sun, Nov 1, 2009 at 6:02 AM, Peter Dalgaard <p.dalgaard at biostat.ku.dk> w= rote: > macrakis at alum.mit.edu wrote: >> >> nchar(with(list(2),ls())) gives an internal error. This is of course >> a peculiar call (no names in the list), but the error is not caught >> cleanly. >> >> It is not clear from the documentation whether with(list(2)...) is

How do you disable optimization for a function? I ask because my application often compiles machine-generated code that results in pathological structures that take a long time to optimize, for little benefit. As an example, if a basic block has over a million instructions in it, then DSE can take a while, as it is O(n^2) in the number of instructions in the block. In my application (at least),

Dear R users and developers After upgrading to Windows XP and R 1.9.1 and 2.0, I retried to execute plot.baysian() to a data set that I had used previously to plot with no problem in win2000 R1.8. The error I get is: Error in points(Mbar[-index], lods[-index], pch = ".") : only 0's may mix with negative subscripts Thanx in advance Dino P.S. I allready sent this message

Hi, I recently came across a situation where "rsync --inplace" performs very poorly. If both the source and destination files contain long sequences of identical blocks, but not necessarily in the same location, the sender can spend an inordinate amount of CPU time finding matching blocks. In my case, I came across this problem while backing up multi-hundred-gigabyte MySQL database

My back-end code generator uses LLVM 5.0.1 to optimize and generate code for x86_64. If I run it on a given sample of IR, it takes almost 5 minutes to generate object code. 95%+ of this time is spent in MergeConsecutiveStores(). (One function has a basic block with 14000 instructions, which is a pathological case for MergeConsecutiveStores.) If, instead, I dump out the LLVM IR, and manually

nchar(with(list(2),ls())) gives an internal error. This is of course a peculiar call (no names in the list), but the error is not caught cleanly. It is not clear from the documentation whether with(list(2)...) is allowable; if it is not, it should presumably give an error. If it is, then ls shouldn't have problems with the resulting environment. > qq <- with(list(2),ls())

On 23/09/2019 20:41, Andrew Bartlett wrote: > On Mon, 2019-09-23 at 11:25 +0200, Francesco Malvezzi via samba wrote: >> hi all, >> >> I updated a small domain with 8k object to samba-4.11.0 and the >> database >> conversion from v1 to v2 didn't take a noticeable time. >> >> On the other hand, in a larger domain with 67k object, where the >>

Dear RHelpers, Does anyone know of any R code to perform bivariate Poisson regression (including random effects)? Best wishes Simon Simon D.W. Frost, M.A., D.Phil. Department of Pathology University of California, San Diego Antiviral Research Center (Formerly: UCSD Treatment Center) 150 W. Washington St., Suite 100 San Diego, CA 92103 USA Tel: +1 619 543 8080 x275 Fax: +1 619 298 0177 Email:

We've pretty happy now with a patch that adds two wrappers around SmallVector that make it 1) more convenient to use and 2) will tend to mitigate misuse of SmallVector. We think it's ready for wider discussion: https://reviews.llvm.org/D90884 SVec<T> is a convenience alias for SmallVector<T, N> with N chosen automatically to keep its size under 64 Bytes (that heuristic is easy

Hi I'm reading a CSV file using read.table, and it keeps importing a text variable as a factor. To overcome this, I've used the as.is command referring to the variable in question (called "stim") data<-read.table(file.choose(), header=T, sep=",", as.is = "stim") However, "stim" is still imported as a factor. I notice there are other read.table

hi all, I updated a small domain with 8k object to samba-4.11.0 and the database conversion from v1 to v2 didn't take a noticeable time. On the other hand, in a larger domain with 67k object, where the sudo ./bin/samba-tool dbcheck --cross-ncs --fix takes ~40 minutes, 2 hours and half were not enough to complete the conversion. Is it a couple of hours something expected if dbcheck takes so

On 3 May 2018 at 03:23, Hiroyuki Chishiro via llvm-dev <llvm-dev at lists.llvm.org> wrote: > However, aligned memory access instructions (such as 32-bit LW) are > used in this case, and hence my compiler cannot correctly access char > string written in C. This hardware situation was reasonably common in the past, but code still accessed objects not aligned to 32-bits. The compiler