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We are in the process of migrating to new database servers. Our current RAC clusters are running OCFS2 1.2.9 on RHEL 4. Our new servers are running OCFS2 1.6 OEL5. If possible, we would like to minimize the amount of data that needs to move as we migrate to the new servers. We have the following questions: 1. Can we mount an existing OCFS2 1.2 volume on a servers running OCFS2 1.6?

Good Afternoon All. Please forgive me if this is an often-asked question, but ... We're trying to get the ability to have users in the same UNIX group be able to check-in and check-out files from a VSS repository. All users in a defined unix group should be able to copy, edit, and delete any file created by any other user in that group. As most of you probably already know, this works fine

Hi all, I wrote a program that implement the variable length encoding and fixed length encoding, and compares their index size and speed of search doc length. You can see the comparison result from the attachment snapshot. 1. The posting list is in all memory; 2. The search strategy of fixed length encoding is skipping with exponential step (1, 2, 4, 8, ...). Once exceeds the desired doc id, back

hello, I believe I have started guest VM now. Is there any GUI support for guest VM? I tried to "apt-get install gnome", but it doesnot work. My host OS is ubuntu 10.10. 2011/1/18 Ian Tobin <itobin@tidyhosts.com> > Hi, > > > > On debian you need to create or open > > > > /etc/modprobe.d/local-loop > > > > and add > > > > options

Running R 2.13.1 on Windows XP. I would like to get week of the year (1-52) for each date. library(chron) dts <- dates(c("02/27/92", "02/27/92", "01/14/92","02/28/92", "02/01/92")) dts dts.chron <- as.chron(dts) dts.chron class(dts.chron) # all of these component extractions work: months(dts.chron) weekdays(dts.chron) years(dts.chron)

This message is in MIME format. --=_6vx1wr5xhvr4 Content-Type: text/plain; charset=ISO-8859-1; DelSp="Yes"; format="flowed" Content-Disposition: inline Content-Transfer-Encoding: quoted-printable Dear R Core Team, Help to 'read.table' claims that 'read.csv' is identical to 'read.table' except for the defaults. However, 'read.table' seems

I have a dataframe that looks like this: > str(chr) 'data.frame': 84 obs. of 7 variables: $ county: Factor w/ 3 levels "Broome","Nassau",..: 3 3 3 3 3 3 3 3 3 3 ... $ item : Factor w/ 28 levels "Access to healthy foods",..: 21 19 20 18 16 3 2 6 17 8 ... $ value : num 8644 15 3.5 3.9 7.7 ... $ low : num 7897 9 2.5 2.6 7 ... $ high : num 9390

appologies about my previous html post. I''ve been meening to switch to plain text and haven''t done it until now. _____________________________ SUNY - ITEC Information Technology Exchange Center Systems Programmer/Analyst E-mail: Joe.Hoot@itec.suny.edu Office: (716)878-4644 Cell: (716)908-6292 Fax: (716)878-3485 _____________________________

I am unable to install the rggobi package. I do not have trouble installing other packages. Any advice or suggestions? >sessionInfo() R version 2.8.1 (2008-12-22) i386-pc-mingw32 locale: LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252 attached base packages: [1] stats

guRus: I have a variable "beta" as an argument to R's beta function. So essentially I have a case of beta(alpha, beta). What surprises me is that R doesn't barf on this stupid programming practice. R gets the right answer. How does R know "beta the variable" from "beta the function"? Joseph F. Lucke Senior Statistician Research Institute on Addictions

R version 2.11.1 on WinXP How do I get 3 scatterplots with marginal boxplots (from the car package) onto a single plot? I have a data frame called bank > dim(bank) [1] 46 5 head(bank) x1 x2 x3 x4 pop 1 -0.45 -0.41 1.09 0.45 0 2 -0.56 -0.31 1.51 0.16 0 3 0.06 0.02 1.01 0.40 0 4 -0.07 -0.09 1.45 0.26 0 5 -0.10 -0.09 1.56 0.67 0 6 -0.14 -0.07 0.71 0.28 0

R 2.5.1 on WinXP I'm trying to create new variables in a dataframe called jaw, as powers of jaw$age up to the sixth power, and name them jaw$age.(--the digit corresponding to the power--) Obviously none of these work (silly for me to try, I suppose): for (i in 2:6) { jaw$age.'i' <- jaw$age^i } for (i in 2:6) { jaw$age.i <- jaw$age^i } for (i in 2:6) {

Every day I get a csv file containing the names of the 64 schools in our county, the number of students sent home ill, and the number of students absent (plus lots of other variables). The file is cumulative since fall of 2009. It is in "long" format: one line per school per day. Each line is also supposed to contain the total number of students enrolled in the school. That number

Is there a way to automate fitting and assessing loglinear models for several nominal variables . . . something akin to step or drop1 or add1 for linear or logistic regression? Thanks. --Chris -- Christopher W. Ryan, MD SUNY Upstate Medical University Clinical Campus at Binghamton 40 Arch Street, Johnson City, NY 13790 cryanatbinghamtondotedu "If you want to build a ship, don't drum

Hi, I'm working with Prof. Zadok on versionfs, a stackable versioning file system. I face some problems with the unlink operation on ext3 with htree. On an unlink, I make a copy of the file (version/backup) and unlink the original file. But some files that have been unlinked are "linked back" to another file. For example, on deleting the file 'foo', the file itself is

Yes, it's homework . . . delete now if desired . . . but I think it is an interesting problem. Running R 2.11.1, LaTeX on WinXP, via Sweave. A drop1() object from a glm() produces, as part of its output, a string that looks like this: <none> The trouble I run into is that running latex() on a drop1() object from glm() produces a string that looks like this in the generated .tex

I'm trying to make a factor with levels for day of week, appear as Monday-Sunday, rather than alphabetically. I'm using reorder.factor from gdata package, but obviously not using it properly. What am I doing wrong? Thanks. >data <- read.table("DataEarly2008.txt", sep=" ", header=T, as.is=1:2) >str(data) 'data.frame': 7953 obs. of 9 variables: $

*Hi all,* * * *The following is my general idea for the project. For a complete query parser I still need to consider more details. Please give me feedback because the description of this project is lack of detailed information, and I can submit my proposal without giant deviation.* * * design principle of query parsing: 1) better understanding user input. All search engine do is understanding

Hi, A question. When I run gelman.diag and gelman.plot with mcmc lists obtained from MCMCregress, the results are following. > post.R <- MCMCregress(Size~Age+Status, data = data, burnin = 5000, mcmc = 100000, + thin = 10, verbose = FALSE, beta.start = NA, sigma2.start = NA, + b0 = 0, B0 = 0, nu = 0.001, delta = 0.001) > post1.R <- MCMCregress(Size~Age+Status, data

Hi All I have 3 GrandStream BudgeTone-100's which connect to an * box with a HFC-S based ISDN card using ISDN4Linux. I have setup the BudgeTone-100's to use Early Dial which for calling between the three phones works well, but for the external calls using the following extension exten => _9.,1,Dial(Modem/g1:${EXTEN:1}) Only the first digit is dial on the ISDN Line. Does anyone know of