similar to: Please help....normalization by the median of some control genes

Greetings: I've searched the R archives with no luck. I want to print this to the screen as part of on-screen instructions as an example: default.FACTOR.labels <- c("Probe1", "Probe2", "Probe3") I can't seem to trick gsub() gsub("'", "\"", "default.FACTOR.labels <- c('Probe1', 'Probe2',

Thomas, Have spoken to Soren, from my bootlog he believes that the problem is in atapicam causing the system to lock up. He is happy to answer some questions but doesnt have time to delve into atapicam himself. Did you author atapicam, I have seen your name on the sourcecode, can you help me further? Whats next? Thanks Adam. -------------- next part -------------- An embedded message was

Hi, I have been trying out a nice new tws controller and decided to enable debugging in the kernel and run some stress tests. With a regular GENERIC kernel, it boots up fine. But with debugging, it panics on boot. Anyone know whats up ? Is this something that should be sent directly to LSI ? pcib0: <ACPI Host-PCI bridge> port 0xcf8-0xcff on acpi0 pci0: <ACPI PCI bus> on pcib0

Here is my model with interaction terms and control variables (I changed variables names for easy read): reg1 <- lm(y ~ x1*x2*x3 +control1 + control2 + control3) x1 ranges from 0 to 6; x2 from 0 to 5; and x3 from 0 to 4. All three are discrete ordinal variables; but I will treat them as continuous variables. (a) How can I see the predicted values of y for each of these scenarios (210

I don't know if this is the best place to post this question but I will try anyway. I have two experiements for which I use one-way matched-randomized ANOVA for the analysis and I would like to compare different treatments in the two experiments. The only common group in the two experiments are the controls. Is there any ANOVA design that allows me to make this comparison taking into

D'oh! I've been using cat() but somehow never got the bigger picture. Thanks!!! Charles Annis, P.E. Charles.Annis at StatisticalEngineering.com phone: 561-352-9699 eFax: 614-455-3265 http://www.StatisticalEngineering.com -----Original Message----- From: Marc Schwartz [mailto:MSchwartz at mn.rr.com] Sent: Wednesday, October 11, 2006 1:45 PM To: Charles.Annis at

I haven't verified what Matt described is what actually happens, but assuming it is - that is a known issue in the x86 cost model. Vectorizing interleaved memory accesses on x86 was, until recently, disabled by default. It's been enabled since r284779, but the cost model is very conservative, and basically assumes we're going to scalarize interleaved ops. I believe Farhana is working

Hi Michael- Since you bring up libquantum performance can you let me know what the IR will look like for this small code snippet (libquantum-like) with –enable-cond-stores-vec ? I ask because I don’t see vectorization kicking in unless -force-vector-width=<> is specified. Let me know if I am missing something. -Thx struct nodeTy { unsigned int c1; unsigned int c2; unsigned

Dear list, Hello to everybody, I´m interested in finding a package for statistical analysis of binary data, I have a matrix with the following structure: Case1 Case2 Case 3 ....... CaseX Control1 Control2 Control3 ....... ControlY Pep1 1 0 1 1 0 0 0 1 Pep2 1 1 1 1 1 0 0 1 Pep3 0 1 1 1 1 0 0 1 ... Pepz 1 1 1 1 1 0 0 1 I would like to know some R package to calculte similarity matrix or

Hi Dibyendu, Are you using a recent compiler? What architecture are you targeting? The target will determine whether the vectorizer thinks vectorization is profitable without having to manually force the vector width. For example, top-of-trunk vectorizes your snippet with "clang -O2 -mllvm -enable-cond-stores-vec" and "--target=aarch64-unknown-linux-gnu". However, with

Hi Matt- Yeah I used a pretty recent llvm (post 3.9) on an x86-64 ( both AMD and Intel ). -dibyendu From: Matthew Simpson [mailto:mssimpso at codeaurora.org] Sent: Wednesday, December 14, 2016 10:03 PM To: Das, Dibyendu <Dibyendu.Das at amd.com> Cc: Michael Kuperstein <mkuper at google.com>; llvm-dev at lists.llvm.org Subject: Re: [llvm-dev] Enabling scalarized conditional stores in

If there are no objections, I'll submit a patch for review that sets the default value of "-enable-cond-stores-vec" to "true". Thanks! -- Matt On Wed, Dec 14, 2016 at 12:55 PM, Michael Kuperstein via llvm-dev < llvm-dev at lists.llvm.org> wrote: > I haven't verified what Matt described is what actually happens, but > assuming it is - that is a known

Thanks Michael and Dibyendu for doing the experimentation and bringing this up to our attention. It might be the case what Matt described here. I will take a look at it. Farhana From: Michael Kuperstein [mailto:mkuper at google.com] Sent: Wednesday, December 14, 2016 9:56 AM To: Das, Dibyendu <Dibyendu.Das at amd.com>; Aleen, Farhana A <farhana.a.aleen at intel.com> Cc: Matthew

Hi Michael, Thanks for testing this on your benchmarks and target. I think the results will help guide the direction we go. I tested the feature with spec2k/2k6 on AArch64/Kryo and saw minor performance swings, aside from a large (30%) improvement in spec2k6/libquantum. The primary loop in that benchmark has a conditional store, so I expected it to benefit. Regarding the cost model, I think the

A problem with 4.8 reported by myself and Aaron D. Gifford. Anyone in -stable who knows more? ******** I'm assembling a Compaq 1850R with attached storage system. For the built in scsi controller (sym), there are three drives internally on channel 1 + 5 drives externally on channel 2. During boot, I can see all disks being identified first by the machine itself and then in the early part

Hi. On one of my fresh installed servers I am seeing the following output during boot: gptzfsboot: error 4 lba 30 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 30 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 31 gptzfsboot: error 4 lba 31 gptzfsboot:

Late to the show on this release, unfortunately. One of our production packages no longer builds under R-2.15.0 with the following message. ** testing if installed package can be loaded Error: Function found when exporting methods from the namespace 'SuperCurve' which is not S4 generic: 'image' Possibly relevant clues follow: ## From R/AllGenerics.R if

R-users, I have the following piece of code which I am trying to run on a dataframe (aga2) with about a half million records.  While the code works, it is extremely slow.  I've read some of the help archives indicating that I should allocate space to the p1 and ags1 vectors, which I have done, but this doesn't seem to improve speed much.  Would anyone be able to provide me with advice on

Please help: I am using qplot as below and want to specify a different color scheme for race but dont know how, can someone show me. Thanks in advance Code and input file below: library(ggplot2) library(gridExtra) d<-read.table("results", header=TRUE, fill=TRUE) plot2<-qplot(X,Y,data=d,color=race,facets=TYPE~., xlab="X", ylab="Y") + theme_bw()

Hello I have been searching for almost 2 hours for a certain plug-in/package, so im making this thread as i hope you can help me find it. I had my first lesson in "Statistics in use" today, and when we worked on the school computers, we could do this to import data from excel: Data > Import Data > Import from excel or "something else" Now i downloaded it for my