similar to: How to use formulas for multivariate clustered data?

Dear R experts, we are preparing an R-package to compute the Oja Median which contains some C++ code in which random numbers are needed. To generate the random numbers we use the following Mersenne-Twister implementation: // MersenneTwister.h // Mersenne Twister random number generator -- a C++ class MTRand // Based on code by Makoto Matsumoto, Takuji Nishimura, and Shawn Cokus // Richard J.

Dear R experts, I'm planning to write some kind of multivariate regression function where I would like to use a formula method. My question is if there is anywhere some detailed introduction how to program formulas in R? A bit more about what I need: I would like to start implementing a multivariate hierarchical regression model and to keep it simple in the beginning I would restrict

Dear R useRs, The new contributed packages 'ICS' and 'ICSNP' are available on CRAN. Descriptions: The 'ICS' package implements the 2 scatter matrix transformation to obtain an invariant coordinate system or independent components, depending on the underlying assumptions. The result of the transformation is an object of the S4 class ics which is provided by this

Dear R useRs, The new contributed packages 'ICS' and 'ICSNP' are available on CRAN. Descriptions: The 'ICS' package implements the 2 scatter matrix transformation to obtain an invariant coordinate system or independent components, depending on the underlying assumptions. The result of the transformation is an object of the S4 class ics which is provided by this

Dear list: since it took me a little while to figure out how to make use of naresid, I thought that the below R code might be useful as an example on the help page. Regards, Markus # generate some data x1 <- runif(20) y <- 10 + 5*x1 + rnorm(20) summary(lm.0 <- lm(y ~ x1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) #

Dear list: since it took me a little while to figure out how to make use of naresid, I thought that the below R code might be useful as an example on the help page. Regards, Markus # generate some data x1 <- runif(20) y <- 10 + 5*x1 + rnorm(20) summary(lm.0 <- lm(y ~ x1)) # append some NA's to y y <- c(y, rep(NA, 5)) # generate some further x1s x1 <- c(x1, runif(5)) #

Hi, I am having the following setup: the kernel displays its messages to vga and to ttyS0. This works without xen. When I reboot my system with xen with the following options to xen and vmlinuz, xen.gz com1=115200,8n1 console=com1,vga vmlinuz console=ttyS0,115200 console=tty0 the system hangs up while booting the dom0 kernel. Has anyone such a setup working? The thin is, I want a console on

Hi, I am having the following setup: the kernel displays its messages to vga and to ttyS0. This works without xen. When I reboot my system with xen with the following options to xen and vmlinuz, xen.gz com1=115200,8n1 console=com1,vga vmlinuz console=ttyS0,115200 console=tty0 the system hangs up while booting the dom0 kernel. Has anyone such a setup working? The thin is, I want a console on

Dear R experts, it would be very kind if you could help me with two wireplot problems. First, when I make a wireplot and transform it into an .eps using the postscript function the eps-file leaves always a lot of space below the plot, as if it would leave space for a legend or something like that. How can i get the plot into the bottom corner without the space below? The space is not there when

Dear R masters, I have large multivariate time series as zoo objects and want to plot them using lattice. Since I have many variates in one object I would like to have the strips on the left, using strip.left = TRUE. However when I use this the variable names are converted into numbers. How can I keep there the original variable names? (compare test1 and test2 in example below) Furthermore

Is anyone running Xen on this hardware? Is it stable? -- # CONFIG_TCG_TPM is not set Adam Kosmin GNU/Linux SA Visual Trading Systems, LLC Empire State Building 350 Fifth Avenue, Suite 6420 New York, NY 10118, USA Email akosmin@vtsystems.com Phone 1 (212) 871-1747 ext. 340 _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com

Hi, I would like to plot multiple graphs in a single plot frame. Something like this: plot(X, Y1, type='l', col='red') lines(X, Y2, col='green') lines(X, Y3, col='blue') etc. The problem with this approach is, however, that the range of the y-axis will be set according to the minimum and maximum values of Y1 only. I would like to generate a plot that shows all

Dear R experts, I was wondering if there are any R functions that give the tail area of a sum of chisquare distributions of the type: a_1 X_1 + a_2 X_2 where a_1 and a_2 are constants and X_1 and X_2 are independent chi-square variables with different degrees of freedom. Thanks, Klaus -- "Feel free" - 5 GB Mailbox, 50 FreeSMS/Monat ...

Dear R Users, I'm working on a problem where I have a multivariate response vector of counts and a continuous predictor. I've thought about doing this the same way you would do a Multvariate regression model with normally distributed data, but since these data are counts, they are probably better modeled with a Poisson distribution. For example y1<-rpois(100,3.5) y2<-rpois(100,1.5)

Dear R-experts, I have some questions about boxplots with lattice. My data is similar as in the example below, I have two factors (Goodness of Fit and Algorithms) and data values but in each panels the scales are quite different, therefore the normal boxplots produced by set.seed(1) GOF <- factor(rep(c("GOF1","GOF2","GOF3"),each=40)) Alg <-

How can I run multivariate linear regression in R (I have got 3 dependent variables and only 1 independent variable)? I tried lm function, but it gave different R2 and p values for every dependent variable. I need one R2 and p value for the model. [[alternative HTML version deleted]]

I am relatively new to R and object oriented programming. I have relied on SAS for most of my data analysis. I teach an introductory undergraduate forecasting course using the Diebold text and I am considering using R in addition to SAS and Eviews in the course. I work primarily with univariate or multivariate time series data. I am having a great deal of difficulty understanding and working with

I got very strange behavior: Server A has local passwords (made with smbpasswd -a) and it also use password from other server: security = server password server = b.domain.example passdb backend = tdbsam With OLDER user accounts everything works. With WIN-XP everything works. With CMD-PROMPT everything works. With LOCAL PASSWORDS everything works. With PERMISSIONS TO GROUP everything

Hi, I don't know enough C to know for certain if this is a programmer or compiler error: In a Objective-C source file I have: . static const char sessionEntriesKVO = ' '; . Later I use that variable as a ID by taking it's address like this: [feedManager addObserver:self forKeyPath:@"sessionEntriesCount" options:0 context:&sessionEntriesKVO]; and later . if

I compiled and tried rsync 2.5.0 but could not get the server running. loadparm.c:string_set() now calls free() which it did not do in 2.4.6 and this free() tries to free memory that was not allocated with malloc. Here is a gdb run (done after adding return before fork() in become_daemon) which shows where it crashes and what my minimal config file for demonstrating the bug was. The config file