similar to: Create an identifier variable

I have historically noticed that in ZFS, when ever there is a heavy writer to a pool via NFS, the reads can held back (basically paused). An example is a RAID10 pool of 6 disks, whereby a directory of files including some large 100+MB in size being written can cause other clients over NFS to pause for seconds (5-30 or so). This on B70 bits. I''ve gotten used to this behavior over NFS, but

Hi, I''m running Opensolaris 2009.06, and I''m facing a serious performance loss with ZFS ! It''s a raidz1 pool, made of 4 x 1TB SATA disks : zfs_raid ONLINE 0 0 0 raidz1 ONLINE 0 0 0 c7t2d0 ONLINE 0 0 0 c7t3d0 ONLINE 0 0 0 c7t4d0 ONLINE 0 0

fun example that shows NCQ lowers wait and %w, but doesn''t have much impact on final speed. [scrubbing, devs reordered for clarity] extended device statistics device r/s w/s kr/s kw/s wait actv svc_t %w %b sd2 454.7 0.0 47168.0 0.0 0.0 5.7 12.6 0 74 sd4 440.7 0.0 45825.9 0.0 0.0 5.5 12.4 0 78 sd6 445.7 0.0

Dear R helpers I have following data stocks <- c("ABC", "DEF", "GHI", "JKL") prices_df <- data.frame(ABC = c(17,24,15,22,16,22,17,22,15,19),                                          DEF = c(22,28,20,20,28,26,29,18,24,21),                                           GHI = c(32,27,32,36,37,37,34,23,25,32),                                          

Hi all, just after sending a message to sunmanagers I realized that my question should rather have gone here. So sunmanagers please excus ethe double post: I have inherited a X4140 (8 SAS slots) and have just setup the system with Solaris 10 09. I first setup the system on a mirrored pool over the first two disks pool: rpool state: ONLINE scrub: none requested config: NAME

hello, I would like to create the following barplot: I have 4 different data sets (same length + stddev for each data point) data1 sd1 data2 sd2 data3 sd3 data4 sd4 now, I'd like to plot in the following way: data1[1],data2[1],data3[1],data4[1] with it's sd-values side-by-side at one x-axis label (named "position 1") and each bar in different colors.

Hello...i want to find the empirical rate for type 1 error using fixed trimmed mean. To make it easy, i'm referring to journal given by this website http://www.academicjournals.org/ajmcsr/PDF/pdf2011/Yusof%20et%20al.pdf. I already run the programme and there is no error in it but i got zero for the empirical rate of type 1 error. The empirical rate for the type 1 error given in the journal

Hello, I haven't found errors in your code. I implemented the test in the paper (the first, fixed symetric mean) and it also gives me zero Type I errors, when alpha = 0.05. Try to see the value of min(pv) or to plot the histogram of 'pv', hist(pv) and you'll see that there are no significant p-values, at that level. Anyway I'll continue to look at it, but my first

I have just recently (physically) moved a system with 16 hard drives (for the array) and 1 OS drive; and in doing so, I needed to pull out the 16 drives so that it would be light enough for me to lift. When I plugged the drives back in, initially, it went into a panic-reboot loop. After doing some digging, I deleted the file /etc/zfs/zpool.cache. When I try to import the pool using the zpool

Hi, I upgraded to Ruby 1.8.4 and whatever the latest Rails is as of March 29 2006. I am using PostgreSQL 7.4. With the earlier version of rails, I had insert queries that looked like this: Topic Create (0.001189) INSERT INTO topics ("inlibrary", "irx_display_title", "irx_title", "title", "creation_stamp", "last_update_stamp",

Under Solaris 10 u6 , No matter how I configured my ARECA 1261ML Raid card I got errors on all drives that result from SCSI timeout errors. yoda:~ # tail -f /var/adm/messages Jan 9 11:03:47 yoda.asc.edu scsi: [ID 107833 kern.notice] Requested Block: 239683776 Error Block: 239683776 Jan 9 11:03:47 yoda.asc.edu scsi: [ID 107833 kern.notice] Vendor: Seagate

Hi, I have installed b_78 on a Dell 2950 and booting to bare metal works fine but when I try to boot using the grub entry Solaris xVM it will boot to the point where it displays the uname info and then just stays there. It will not boot past that point. I have enabled VT technology in the BIOS (but only after the installation). Where/what can I look at to trouble shoot this? I am new to xen and

Hi All, I''ve just built an 8 disk zfs storage box, and I''m in the testing phase before I put it into production. I''ve run into some unusual results, and I was hoping the community could offer some suggestions. I''ve bascially made the switch to Solaris on the promises of ZFS alone (yes I''m that excited about it!), so naturally I''m looking

G''day, all, So, I''ve decided to migrate my home server from Linux+swRAID+LVM to Solaris+ZFS, because it seems to hold much better promise for data integrity, which is my primary concern. However, naturally, I decided to do some benchmarks in the process, and I don''t understand why the results are what they are. I though I had a reasonable understanding of ZFS, but now

Dear all: Assume I have 3 distributions, x1, x2, and x3. x1 ~ normal(mu1, sd1) x2 ~ normal(mu2, sd2) x3 ~ normal(mu3, sd3) y1 = x1 + x2 y2 = x1 + x3 Now that the data I can observed is only y1 and y2. It is easy to estimate (mu1+m2), (mu1+mu3), (sd1^2+sd2^2) and (sd1^2+sd3^2) by EM algorithm since y1 ~ normal(mu1+mu2, sqrt(sd1^2+sd2^2)) and y2 ~ normal(mu1+mu3, sqrt(sd1^2+sd3^2)) However, I want

So I have attached to my system two 7-disk SCSI arrays, each of 18.2 GB disks. Each of them is a RAID-Z1 zpool. I had a disk I thought was a dud, so I pulled the fifth disk in my array and put the dud in. Sure enough, Solaris started spitting errors like there was no tomorrow in dmesg, and wouldn''t use the disk. Ah well. Remove it, put the original back in - hey, Solaris still thinks

Hi, I run this code to get the power of the test for modified bartlett's test..but I'm not really sure that my coding is right.. #normal distribution unequal variance asim<-5000 pv<-rep(NA,asim) for(i in 1:asim) {print(i) set.seed(i) n1<-20 n2<-20 n3<-20 mu<-0 sd1<-sqrt(25) sd2<-sqrt(50) sd3<-sqrt(100) g1<-rnorm(n1,mu,sd1) g2<-rnorm(n2,mu,sd2)

Hi all, I appreciate the help this list has given me before. I have a question which has been perplexing me. I have been working on doing a Bayesian calculating inserting studies sequentially after using a non-informative prior to get a meta-analysis type result. I created a function using three iterations of this, my code is below. I insert prior mean and precision (I add precision manually

----- Forwarded Message ----- From: vramaiah at neo.tamu.edu To: "bernhard pfaff" <bernhard.pfaff at pfaffikus.de> Sent: Friday, November 11, 2011 9:03:11 AM GMT -06:00 US/Canada Central Subject: Use of R for VECM Hello Fellow R'ers I am a new user of R and I am applying it for solving Bi-Variate (Consumption and Output) VECM with Co-Integration (I(1)) with three lags on

Dear Colleague I am trying to figure out how to use R to do OLS restricted VECM regression. However, there are some notation I cannot understand. Please tell me what is 'ect', 'sd' and 'LRM.dl1 in the following practice: #OLS retricted VECM regression data(denmark) sjd <- denmark[, c("LRM", "LRY", "IBO", "IDE")] sjd.vecm<-