similar to: Own CentOS distribution

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

In qqmath, how would one go about having 'distribution' change with panel.number? I've tried set.seed(1) mydata <- data.frame(ind = factor(rep(2:4, each = 100))) mydata$val <- rt(300, df=rep(2:4, each = 100)) plot<-qqmath(~ val | ind, layout=c(3,1), data = mydata, prepanel = function(x, distribution, ...) {

Hi, a couple of questions on manipulating a dataframe: 1) Without using a for loop (often inefficient, as i understand, in R), is it possible to split a dataframe into a list of dataframes with the number of *columns* in each (child)dataframe specified by the elements of a numeric vector? for example: dataframe 10 20 30 40 24 90 34 12 12 44 67 77 split using the vector c(3, 1) results in 2

I also have several packages in my RW0633 in Windoze and I would like to keep them in one place when I update the R system. Brian say to modify Rprofile to ..lib.loc <- c("c:/MyR/library",.Library) now Rprofile has a line like .lib.loc <- unique(c(unlist(strsplit(getenv("RLIBS"),":")),.Library) Sorry to be dense but where should I put the

I'm writing R code to calculate Hierarchical Social Entropy, a diversity index that Tucker Balch proposed. One article on this was published in Autonomous Robots in 2000. You can find that and others through his web page at Georgia Tech. http://www.cc.gatech.edu/~tucker/index2.html While I work on this, I realize (again) that I'm a C programmer masquerading in R, and its really

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

This must be documented somewhare but I checked the Xen 3.0 manual and the word "clock" doesn''t even exist in it. I checked the FAQ as well. I am running Xen 3.0.1 and an AMD64 CPU. I found that DOMUs time clock drifts ahead. I installed ntpdate and it reports to change the time but it does not. David _______________________________________________ Xen-users mailing list

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 All, I am using CentOs 4.2 . I need to change the kernel rpm . I downloaded the kernel-2.6.9.EL .src.rpm. after installing this rpm i changed the linux-2.6.9.tar.gz . Bu changing the source i made the rpm. But gives the error . Is it anyother file also required?? . Can anyone knows how i can do this ? -------------- next part -------------- An HTML attachment was scrubbed... URL:

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, This is not an R question, but I've seen opinions given on non R topics, so I wanted to give it a try. :) How would one treat a variable that was measured once, but is known to fluctuate a lot? For example, I want to include a hormone in my regression as an explanatory variable. However, this hormone varies in its levels throughout a day. Nevertheless, its levels differ substantially

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

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

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,

I am trying to fit a lognormal distribution to a set of data and test its goodness of fit with regard to predicted values. I managed to get so far: > y <- c(2,6,2,3,6,7,6,10,11,6,12,9,15,11,15,8,9,12,6,5) > library(MASS) > fitdistr(y,"lognormal",start=list(meanlog=0.1,sdlog=0.1)) meanlog sdlog 1.94810515 0.57091032 (0.12765945) (0.09034437) But I would

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

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