similar to: seemingly simple read.table question

Hello I am a rookie ,I have got a silly question,I download xen-2.0.6-src.tgz ,and put it in /tgh, and tar zxvf it ,got xen-2.0 in /tgh ,then cd /tgh/xen-2.0 ,and make dist ,then I got some directories : xen ,linux-2.6.11-xenO,linux-2.6.11-xenU and so on ,but I don`t get vmlinuz-2.6.11-xen0 or xenU , I don`t kown much about how to compile kernel , and I must have made some silly mistakes ,any

thanks for help, xend start is OK but xm list failed as follows How to fix it ?? I am look forward to your directions [root@tgh Twisted-1.3.0]# xend start [root@tgh Twisted-1.3.0]# xm list (111, ''Connection refused'') Error: Error connecting to xend, is xend running? _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com

Asterisk 1.6 CentOS 5.0 All - I'd like to offer my users the ability to hangup a call by pressing **. I'm using an attendant, so when ** is dialled I'd like processing to return to the attendant so the user can place a subsequent call. I have setup features.conf to include: [featuremap] disconnect => ** My Dial command looks like this:

I have a habtm relationship like the following: Automobile <--> Options What I want to do is when an option is deleted, make sure that there are no Automobiles that still have that option. It seems simple enough, but I am having a tough time with it. I believe Rails automagically deletes the relationships when the automobile is deleted, but not the other way around. Any help would

Hi I try to setup a domain ,but I don`t what to edit in config file,such as [disk], I have read manual online ,but can anyone give me an example anyone help me ? [root@tgh grub]# xm create ttyconfig -c Using config file "/etc/xen/ttyconfig". Error: Error creating domain: vbd: Segment not found: uname=file:/xen/ttylinux/rootfs _______________________________________________

I'm sure there is a more general way to ask this question but how do you use the elements of a character vector as names of objects in an expression? For example, say you have: a = c(1,3,5,7) b = c(2,4,6,8) n=c("a","b") and you want to use the names a and b in a function (e.g. sum) sum(eval(as.name(n[1])),eval(as.name(n[2]))) works but what is a simpler way to

Hello, I have upgrade my Samba PDC to Samba AD and join a linux box to the AD. Using short domain name -- FOO Joined 'RTR-01' to realm 'foo' Wbinfo get users root at rtr-01:~# wbinfo -u | tail -1 FOO\user getent passwd do not getent passwd | tail -1 fetchmail:x:108:65534::/var/lib/fetchmail:/bin/false root at rtr-01:~# cat /etc/nsswitch.conf # /etc/nsswitch.conf # # Example

Right out of the box (after I made Damien's LDFLAGS fix in configure) using gcc-2.95.2. The only problem I have now is the man pages. I still can't read them using Solaris nroff, and when I tried to build with --with-catman=cat, I got the following during a make install: /rtr/bin/install -c -m 644 ssh.[01].out /usr/local/man/cat1/ssh.1 Try `/rtr/bin/install --help' for more

Hi, I am trying to use piecewise linear regression to approximate a nonlinear function. Actually, I don't know how many linear functions I need, therefore, I want build an array of regression models to automate the approximation job. Could you please give me any clue? Attached is ongoing code: rawData = scan("c:/zyang/mass/data/A01/1.PRN", what=list(numeric(),numeric())); len =

I'm doing these manipulations on the data frame and wondering why does R have to remember historical data on my operation and not just keep the needed info. Probably a basic fundamentals of the way R handles data .. Pls point me to the manual if possible .. I have this Index data: > head(NIFTY_INDX) Constituents.list.of.S.P.CNX.Nifty X X.1 X.2 X.3

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

Dear all, Let say I have following data: RawData <- matrix(1:101, nr = 1); colnames(RawData) <- c("ASD", as.character(as.yearmon(seq(as.Date("2012-03-01"), length.out = 100, by = "1 month")))); rownames(RawData) <- "XYZ" CutOffDate <- as.Date("2012-09-01") NewDateSeries <- as.character(as.yearmon(seq(CutOffDate, to =

Hi All, I have txt file like : $ cat data.txt US 10 UK 12 Ind 4 Germany 14 France 8 > rawdata <- read.table(file='data.txt',sep='\t' , header=FALSE) > rawdata V1 V2 1 US 10 2 UK 12 3 Ind 4 4 Germany 14 5 France 8 I want to draw pie chart for the above data. How to split rawdata into : con <-

I understand that in R, for loops are not used as often as other languages, and am trying to learn how to avoid them. I am wondering if there is a more efficient way to write a certain piece of code, which right now I can only envision as a for loop. I have a data file that basically looks like: 1,55 1,23 2,12 ... that defines a matrix. Each row of the data file corresponds to a row of the

Hi R -users, i've a table as describe below. I'm reading the numeric value presented in this table to populate a list. #table #============ #X    A    B    C #x1    2    3    4 #x2    5    7    10 #x4    2    3    5 #============ rawData <- read.table("raw_data.txt",header=T, sep="\t") myList=list() counter=0 for (i in c(1:length(rawData$X))) {     print (i)    

I've been having difficulty getting smbpasswd -a working as follows. wiggum:/etc# smbpasswd -D 10 -a rtr New SMB password: Retype new SMB password: ldap_open_connection: connection opened ldap_connect_system: Binding to ldap server as "cn=manager,dc=test,dc=net" Bind failed: Can't contact LDAP server ldap_open_connection: connection opened ldap_connect_system: Binding to ldap

In an earlier post, a person wanted to divide each of the rows of rawdata by the row vector sens so he did below but didn't like it and asked if there was a better solution. rawdata <- data.frame(rbind(c(1,2,2), c(4,5,6))) sens <- c(2,4,6) temp <- t(rawdata)/sens temp <- t(temp) print(temp) Gabor sent three other solutions and I understood 2 of them but not the

Dear R, I import data from spss into a R data.frame. On this rawdata I do some data processing (selection of observations, normalization, recoding of variables etc..). The result is stored in a new data.frame, however, in this new data.frame the value labels are lost. Example of what I do in code: # read raw data from spss rawdata <- read.spss("./data/T50937.SAV",

Hello there, Much thanks in advance for any help. I have a few questions: 1) Why do I keep getting the following error: File1 <- read.csv("../RawData/File1.csv",as.is=TRUE,row.names=1) Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : cannot open file '../RawData/File1.csv': No such file or

I have a model: mod1<-lmer( x ~ (1|rtr)+ trth/(1|cs) , data=dtf) # Here, cs and rtr are crossed random effects. cs 1-5 are of type TRUE, cs 6-10 are of type FALSE, so cs is nested in trth, which is fixed. So for cs I should get a fit for 1-5 and 6-10. This appears to be the case from the random effects: > mean( ranef(mod1)$cs[[1]][1:5] ) [1] -2.498002e-16 > var(