similar to: more kickstart - saving %pre decisions for %post

Hey folks, I'm at colocaiton in the middle of a big rebuild and it seems I have a faulty CD rom in the server that I need to put Centos on via Kickstart. So I cannot boot the Centos 5.4 net install CD. Is PXE kickstart easy to set up? I have a laptop here with DHCP already going. I google and a bunch of stuff comes up but it does not look simple. I'm just shooting htis out ther eon

Howdy, Was wondering if anyone on the list has successfully created a kickstart cd. I get the thing burnt, looks good, I can browse all the files, but when I actually boot from it I can't get it to admit the ks.cfg exists. I *have* been successful with kickstart over http; just can't seem to make it happen from the cd. Pointers appreciated, I've been mostly looking at the

Hey folks! I'm doing some %pre work for the first time in a very long time, and have been at this all day so far and still don't have anything sorted out properly. First I tried just doing some simple bash stuff like this %pre #!/bin/bash # stuff I reduced "stuff" down to basically a simple "select" statement to echo and read input, just for the sake of debugging.

Hi Folks, I'm wondering if there's a secret trick to achieve the following. I have some big code for analysis related to a named variable, which will be one of several in the columns of a dataframe, and I would like to be able to choose between a run for just one of these variables, or a run which loops over them all. So, for a single run, I could have the following kind of thing in a

Greetings guRus -- If a variable, e.g., 'varname', is a character string, e.g. varname <- "datavector", and I want to apply a function, such as table(), to datavector, what syntax or method will do so using only the variable varname? This seems similar to indirect addressing, but I have not seen a method for it in the R manuals. Is there a general name for such indirect

Dear R users, I have a simple question on variable manipulation. Imagine I have an object "OBJ" that has "toto" as one of its variables. I would like to understand why if I do > varname <- "toto" >OBJ$varname returns no results whereas > OBJ[varname] returns the column entitled

I keep finding myself in a situation where I want to calculate a variable name and then use it on the left hand side of an assignment. For example iteration <- 1 varName <- paste("run",iteration,sep="") myList$parse(text=varName) <- aColumn I want to take some existing variable "aColumn" and use the name "varName" name for it and put it into a

Anyone point me in the direction of a good howto on kickstarting an 1850 or 2850 with the latest 4.x release - I presume one does not use a ks floppy anymore as the kernel would be too big ? thanks

Why doesn't this work? #Drop a variable name from a data frame DropLikeSAS <- function(x,df) { df[[x]] <- NULL 0 } DropLikeSAS("VarName", DataFrameName) Try it. The column VarName will not be deleted from the data frame DataFrameName. But x <-

Dear all, I have two probably very easy questions: (1) Is there a way to access certain variables by their string-based name representation? Example: numbers <- c("one", "two", "three") varname <- "numbers" print(varname[2]) (2) I need this functionality for a customized na.exclude() function that I am building, which should only exclude rows

getenv(<varname>) currently returns "" if the <varname> is undefined. However, if <varname> is defined but empty, getenv(<varname>) still only returns "". I think this is quite unfortunate but consistent with the prototype. --- I'd propose to change the current behavior. Something which should be pretty back compatible would for the first

Dear R community, I have one function, it works for small data set, but does not work on large data set, can anyone help me with this? > #creat new variable by dividing each aa dimer by total_length. > imper<-function(x, file) { + round(x/file$length, 5) + } > dim(test) [1] 999 2402 > test[varname[2:2401]]<-

Dear all I am looking for a shorter way and more elegant to write the following for (i in c(1:length(Shadowlist))){ filename<-paste('/home/apa/maps/',model,i,'.mat',sep="") varname<-paste(model,'_shadow',i,sep="") eval(parse(text=paste('writeMat(filename,',varname,'=Shadowlist[[i]])',sep=""))) } actually I do not

splom() doesn't complain here, but writes no names in the diagonal boxes. What am I missing? I believe that I need to add something like grid.text(x, ...) to the diagonal panel, but I don't know how to get it cycle through the column labels. And should varname.col = 'blue', varname.cex = 1 be inside the diag.panel() function? splom(szw[, n], pscales = 0, diag.panel

I've written a piece of code (see below) to do a wavelet image decomposition, during the evaluation of this code I would like to write the results of some calculations back to the R root directory. I used assign() to do so because the names should vary when going thrue a while() loop. For some unknown reason I get an error that says: Error in assign(varname[i], imwrImage) :

Hello, Is the following a bug? I always thought that df$varname <- does the same as df["varname"] <- > df <- data.frame(weight=round(runif(10, 10, 100)), sex=round(runif(100, 0, 1))) > df$pct <- df["weight"] / ave(df["weight"], df["sex"], FUN=sum)*100 > names(df) [1] "weight" "sex" "pct" ###

Hi all. I'm looking for robust ways of building lagged variables in a dataset with multiple individuals. Consider a dataset with variables like the following: ## set.seed(123) d <- data.frame(id = rep(1:2, each=3), time=rep(1:3, 2), value=rnorm(6)) ## >d id time value 1 1 1 -0.56047565 2 1 2 -0.23017749 3 1 3 1.55870831 4 2 1 0.07050839 5 2 2 0.12928774 6

Hi All, I'm writing a code generation with my compiler. I read sever example and documentation but I did understand what I make wrong. What I try to do is a compare a local variable with a constant. But when I create a ICMP instruction I get that instruction are not of same type. I'm using llvm by svn repository updated at two week ago. The code that I try to generation is something

Hi Justin, my class is a visitor pattern and I use accept method to go recursive in suboject in my AST. In locals I store AllocaInst pointer. void *visit(var1_init_decl_c *symbol) { llvm::Type *lType; varNames.clear(); varType = ""; symbol->var1_list->accept(*this); /* get a vector contains variable names */ symbol->spec_init->accept(*this); /* Store in

[root at alan centos]# du -sh 5.* 19G 5.3 14G 5.4 -- ?Don't eat anything you've ever seen advertised on TV? - Michael Pollan, author of "In Defense of Food"