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Dear all, I have the following data frame: > dat V1 V2 V3 V4 V5 V6 V7 V8 V9 1 1 AAAACACCCACCCCCCCCCCCCCCCCCCCCCCCC 9.0 18 12.00 18.0 15.0 12.0 6.0 2 1 ACGATACGGCGACCACCGAGATCTACACTCTTCC 18.0 8 12.00 18.0 15.0 12.0 18.0 3 1 ACTACTGCTCCCCCCCCACTCCCCCCCCCCCCCC 15.0 8 12.00 12.0 18.0 12.0 12.0 4 1 ACTTATACGGCGACCACCGAGATCTACACTCTTT 15.0

Dear R Wizards: Running R 1.9.1. on amd64. Promise<- c(0,20,40); Expect<- c(0, 20, 0.2*20+.8*40 ); # this omits printing numbers on the axes labels. pdf(file = "bug.pdf" ); plot(Promise, Expect, type="b", ylim=c(0,60)); dev.off(); # this works postscript(file = "bug.eps" ); plot(Promise, Expect, type="b", ylim=c(0,60)); dev.off(); apologies if

I'm attempting the heruclean task of teaching myself Introductory Statistics and R at the same time. I'm working through Peter Dalgaard's Introductory Statistics with R, but don't understand why the answer to one of the exercises works. I'm hoping someone will have the patience to explain the answer to me, both in the statistics and R areas. Exercise 6.1 says: The zelazo data

When I combine separate vectors into one list, there are new names created. I'd like to change them to something more meaningful. Here are two examples using data(zelazo) from library(ISwR): > library(ISwR) > data(zelazo) > attach(zelazo) > zelazo $active [1] 9.00 9.50 9.75 10.00 13.00 9.50 $passive [1] 11.00 10.00 10.00 11.75 10.50 15.00 $none [1] 11.50 12.00 9.00

Hello, I'm writing from the otherside of the world from where my systems are, so details are coming in slow. We have a 6TB OCFS2 volume across 20 or so nodes all running OEL5.4 running ocfs2-1.4.4. The system has worked fairly well for the last 6-8 months. Something has happened over the last few weeks which has driven write performance nearly to a halt. I'm not sure how to proceed, and

On Fri, 5 Jun 2015, Frank Cox wrote: > On Fri, 5 Jun 2015 01:13:50 -0500 (CDT) > Michael Hennebry wrote: > >> The sound preferences widget on gnome says "Input volume" 100%. >> There is also a row of 15 rectangles labeled "Input level". >> None of them are highighted. > > You said you were using arecord. So what does alsamixer tell you about

Dear All, I have two data like this : $cat main.csv name,id,memory,storage mohan,1,100.20,1.10 ram,1,200,100 kumar,1,400,50 xxx,1,100,40 aaa,1,800,45 mount,1,200,80 > main <- read.csv(file='main.csv',sep=',' , header=TRUE) > main name id memory storage 1 mohan 1 100.2 10 2 ram 1 200.0 100 3 kumar 1 400.0 50 4 xxx 1

On Fri, 5 Jun 2015 01:13:50 -0500 (CDT) Michael Hennebry wrote: > The sound preferences widget on gnome says "Input volume" 100%. > There is also a row of 15 rectangles labeled "Input level". > None of them are highighted. You said you were using arecord. So what does alsamixer tell you about input level and capture? -- MELVILLE THEATRE ~ Real D 3D Digital Cinema

All of our Kafka clusters are fairly write-heavy. The cluster in question is our second-heaviest ? we haven?t yet upgraded the heaviest, due to the issues we?ve been experiencing in this one. Here is an iostat example from a host within the same cluster, but without the RAID check running: [root at r2k1 ~] # iostat -xdmc 1 10 Linux 3.10.0-327.13.1.el7.x86_64 (r2k1) 05/27/16 _x86_64_ (32 CPU)

Dear list, I am using R 2.1.1 on a Fedora 3 Linux, 32 bit PC. If I compute the aggregated mean and the standard deviation I get standard deviation values for factors where the mean was not computed. It seems to me that this is somehow related to the NA values. But I don't quite understand what is going wrong? Could it be related to the data import already? Some of the imported data got the

Greetings Everybody: I generated a 1.2MB dta file based on the general social survey with Stata8 for linux. The file can be re-opened with Stata, but when I bring it into R, it says all the values are missing for most of the variables. This dataset is called "morgen.dta" and I dropped a copy online in case you are interested http://www.ku.edu/~pauljohn/R/morgen.dta looks like this

Estimados Este es el test de friedman que se logra asi library(PMCMR) y <- matrix(c( 3.88, 5.64, 5.76, 4.25, 5.91, 4.33, 30.58, 30.14, 16.92, 23.19, 26.74, 10.91, 25.24, 33.52, 25.45, 18.85, 20.45, 26.67, 4.44, 7.94, 4.04, 4.4, 4.23, 4.36, 29.41, 30.72, 32.92, 28.23, 23.35, 12, 38.87, 33.12, 39.15, 28.06, 38.23, 26.65),nrow=6, ncol=6, dimnames=list(1:6,LETTERS[1:6])) print(y)

I did some additional testing - I stopped Kafka on the host, and kicked off a disk check, and it ran at the expected speed overnight. I started kafka this morning, and the raid check's speed immediately dropped down to ~2000K/Sec. I then enabled the write-back cache on the drives (hdparm -W1 /dev/sd*). The raid check is now running between 100000K/Sec and 200000K/Sec, and has been for several

Hi Jan, all I am trying to generate a video introduction with a fade-in / fade-out effect. To do this with ffmpeg2theora only, I generated a list of PNG images: img001.png, img002.png... img299.png The ffmpeg2theora man page says: Encode a series of images: ffmpeg2theora frame%06d.png -o output.ogv That's exactly what I tried with the latest 0.24 release of ffmpeg2theora:

Hello all, A really noddy question for you all: I''m trying without success to do some subhypothesis testing. Using simple anova model, with a toy dataset from a book. I have four factors A,B,C,D, and wish to test mu_C = mu_D. This is what I have tried: > contrasts(infants$group,how.many=1) <- c(0,0,1,-1) > contrasts(infants$group) [,1] A 0 B 0 C 1

*Postdoctoral Researcher - Bioinformatics/Statistics University of Oxford, UK *An exciting opportunity has arisen for a Postdoctoral Researcher in Bioinformatics/Statistics to join the Department of Oncology at the University of Oxford. The postholder will work under the supervision of Dr Francesca Buffa and Prof Adrian Harris, and will work closely with staff in the Molecular Oncology

Dear R users, I have copied for following table from an article on "Using confidence intervals in within-subject designs": Subject 1sec 2sec 5sec 1 10 13 13 12.00 2 6 8 8 7.33 3 11 14 14 13.00 4 22 23 25 23.33 5 16 18 20 18.00 6 15 17 17 16.33 7 1 1 4 2.00 8 12 15 17 14.67 9 9 12 12 11.00 10 8 9 12 9.67 I rearranged the data this way:

On 02/24/2016 06:04 AM, m.roth at 5-cent.us wrote: > Alice Wonder wrote: >> For those interested I have a working spec file for Bitcoin 0.12.0 >> >> https://github.com/AliceWonderMiscreations/bitcoin/blob/master/contrib/rpm/bitcoin.spec >> >> I believe the only BuildRequires that isn't in CentOS/EPEL is >> miniupnpc-devel but that's trivial to build

*Bioinformatics/Statistics **Postdoctoral Researcher **University of Oxford, UK * An exciting opportunity has arisen for a Postdoctoral Researcher -- Bioinformatics/Statistics to work on the data-mining and knowledge discovery components of the FP7 project "Enabling information re-Use by linking clinical REsearch and Care", EURECA (http://eurecaproject.eu/partners). By generating a

On Sat, 2011-10-29 at 15:16 -0500, Hal Finkel wrote: > On Sat, 2011-10-29 at 14:02 -0500, Hal Finkel wrote: > > On Sat, 2011-10-29 at 12:30 -0500, Hal Finkel wrote: > > > Ralf, et al., > > > > > > Attached is the latest version of my autovectorization patch. llvmdev > > > has been CC'd (as had been suggested to me); this e-mail contains > >