similar to: customization guide

Dear All, Can anyone can tell me where i can get the documentation of customization of CentOS distribution CD . How to change the stage2.img ? Is it possible to change the title from default kernel to some other name using ksconfig ?? Thanks a lot Regards juliet -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hi All, I am trying to create own distribution . distribution CD proceeds for installation and asking for the driver CD . But it's not dictates the driver CD. i customized the ks.cfg also .can anyone can tell me why it is happening ?? Thanks in advance juliet

Hi, I made my own distribution CD . when i am installing this before post installation /usr/sbin/mouseconfig no such file a message displays . can anyone can suggest why it's happens??/ Thanks in advance Regards juliet

Hi All, I attaching a source code kernel 2.6.9.tar.gz . I want to make the source rpm of this file which is patched and also includes the SATA driver controller . Is it possible to get source rpm of this ,so if i reuired to change the kernel , i can do that make the rpm out of this src.rpm which creates the initrd .img . I want to attach the source code . But it gives some problem Please

Hi, I''m gradually moving my site''s config over to Puppet (still in the testing phases at the moment!). Is there any way of getting/referring to a host''s IP address? I want to set up iptables via Puppet, & can use a template but need to get the IP address into the template somehow. I''m getting my node definitions (& thus classes) from LDAP. I

Is there an easy way to make graphs for the following data. I have pretest and posttest scores for men and women. I would like to form a 'titlted segment' plot for the data. That is, make segments joining the scores, with different types of segments for men and women. Example data: menpre <- c(43,42,26,39,60,60,46) menpost <- c(40,41,36,42,54,58,43) womenpre <-

Hi, I''m trying to set up apache2 under puppet, as in this recipe: http://reductivelabs.com/trac/puppet/wiki/Recipes/DebianApache2Recipe I have a file "apache2.pp" as shown there, and then a webserver.pp file (see below). On running puppetd on the client, I get this message: err: Could not retrieve configuration: Could not find definition site in file

Using this data as an example dat <- read.table(textConnection("Id myvar 12 1 12 2 12 6 34 9 34 4 34 8 65 15 65 23"), header = TRUE) closeAllConnections() how can I create another data set that does not have duplicate entries for 'Id', but the included values are randomly selected from the available ones. Thanks! Juliet

Hi Group, I have a matrix, and I would like to replace numbers less than 0 by the smallest minimum number. Below is an small matrix, and the loop I used. I would like to get suggestions on the "R way" to do this. Thanks, Juliet # example data set mymat <- structure(c(-0.503183609420937, 0.179063475173256, 0.130473004669938, -1.80825226960127, -0.794910626384209, 1.03857280868547,

Hi, Here are three plots: library(ggplot2) data(diamonds) randind <- sample(nrow(diamonds),1000,replace=FALSE) dsmall <- diamonds[randind,] qplot(carat, data=dsmall, geom="histogram",binwidth=1) qplot(carat, data=dsmall, geom="histogram",binwidth=.1) qplot(carat, data=dsmall, geom="histogram",binwidth=.01) What are ways to put these three plots on a single

A little off topic this morning...I'm thinking about switching out of Comast's clutches to another high-speed service. I've tried TDS DSL, but they were half the speed comast was/is. I''ve looked into Speakeasy, since I heard a few of ya talking about them. Since I had TDS, that kinda tells me I can get DSL. I live in Mount Juliet, on MT juliet road, behind the

Here is some sample data: mydata <- read.table(textConnection("Est Group Tri 0 0 4.639644 1 0 4.579189 2 0 4.590714 0 1 4.443696 1 1 4.588243 2 1 4.650505 0 2 4.296608 1 2 4.826036 2 2 4.765386"),header=TRUE); closeAllConnections(); I can form two plots,

Hi, Is it possible to have an array as the output of a custom fact? And then to pass it into a template in Puppet? I currently have a fact that looks like this: Facter.add("exports") do setcode do case Facter.hostname when (/thishost/i): [ "/local", "/local2" ] end end end & a template like this: <%

Hi Group, Here is some data. p <- runif(1000) # sample data groups <- rep(c(1,2),each=500) #conditioning variable mydata <- cbind(p,groups) n <- length(p) u <- (1:n)/(n + 1) # uniform distribution reference for qqplot logp <- -log(p,base=10) logu <- -log(u,base=10) qqplot(logp,logu) How can I make the above qqplot in lattice and/or ggplot2. The sample is uniform, and I take

With this data x <- c(0,0,1,1,2,2) y <- c(5,6,4,3,2,6) lwr <- y-1 upr <- y+1 xlab <- c("Low","Low","Med","Med","High","High") mydata <- data.frame(x,xlab,y,lwr,upr) I would like to make a dot plot and use lwr and upr as error bars. Above 0=Low. I would like there to be some space between the 5 and the 6 corresponding

Hi All, I had posted a question on a similar topic, but I think it was not focused. I am posting a modification that I think better accomplishes this. I hope this is ok, and I apologize if it is not. :) I am looping through variables and running several regressions. I have reason to believe that the data is being duplicated because I have been monitoring the memory use on unix. How can I avoid

All, For my understanding, I wanted to see if I can get glmnet predictions using both the predict function and also by multiplying coefficients by the variable matrix. This is not worked out. Could anyone suggest where I am going wrong? I understand that I may not have the mean/intercept correct, but the scaling is also off, which suggests a bigger mistake. Thanks for your help. Juliet Hannah

Hi Group, Consider a data frame like this: mylabel1 <- rep(c("A","B","C"),each=3) mylabel2 <- rep(c("A","B","C"),3) corrs <- c(1,.8,.7,.8,1,.7,.7,.7,1) myData <- data.frame(mylabel1,mylabel2,corrs) myData mylabel1 mylabel2 corrs 1 A A 1.0 2 A B 0.8 3 A C 0.7 4 B

Hi, I've been working with R for a couple of years, and I've been able to get most of the things done that I needed (sometimes in a roundabout way). A few experienced statisticians told me that R is best for interactive data analysis, but for large-scale computations, one needs something else. I understand that this all depends on what you are trying to accomplish, and R offers many ways

Here is an example barplot that needs some tweaking: library(gplots) ratios <- data.frame(c(0.05,0.10,0.9),c(0.06,0.15,0.76)) rownames(ratios) <- c("T1","T2","T3") colnames(ratios) <- c("A1","A2") ratios <- as.matrix(ratios) myplot <- barplot2(ratios, beside = TRUE,col = c("blue",