similar to: saving vector output as numeric

Hi everyone, I emailed yesterday thinking I had a problem with reading matrix information as numerical output into epiR. After working on the data frame today, I realise it's a problem with the data itself rather than the syntax. An original data frame of min max T1 1.500000e+01 3.999954e+01 SE1 0.000000e+00 1.000000e+00 PRE

Hi all, I am attempting to use latin hypercube sampling to sample different variable functions in a series of simultaneous differential equations. There is very little code online about lhs or clhs, so from different other help threads I have seen, it seems I need to create a probability density function for each variable function, and then use latin hypercube sampling on this pdf. So far, I

# lucreate -n B85 Analyzing system configuration. Hi, after typing # lucreate -n B85 I get the following error: No name for current boot environment. INFORMATION: The current boot environment is not named - assigning name <BE1>. Current boot environment is named <BE1>. Creating initial configuration for primary boot environment <BE1>. ERROR: Unable to determine major and

Compiled OK, and operating nicely on CentOS 6.6, both 32/64 bit. Really appreciate the UpdateHostkeys feature! One issue I noticed, the screen output gets garbled if the user has been "asked" to "Accept" the new hostkeys. Looks like the screen output is missing the CR's, and only LF's get presented. [root at be2 .ssh]# ssh be1 ls -l Warning: Permanently added

Dear R-listers, I have a very strange problem. I made a package (under Windows and Linux). The package passed the R CMD Check without problem. Then, I installed the package and executed a function which calls to a 'dll' mod<-frailtyPenal(Surv(time,status)~sex+age+cluster(id), + n.knots=8,kappa1=10000,data=kidney) mod Call: frailtyPenal(formula = Surv(time, status)

Dear All, We are happy to announce, after a long gestation, the release of the new version of FRAILTYPACK (version 2.2-9.5) which is now available from CRAN. The package fit general frailty models using penalized likelihood estimation, for clustered or recurrent events. For instance : -- ADDITIVE FRAILTY MODELS for proportional hazards models with two correlated random effects (intercept

Dear All, We are happy to announce, after a long gestation, the release of the new version of FRAILTYPACK (version 2.2-9.5) which is now available from CRAN. The package fit general frailty models using penalized likelihood estimation, for clustered or recurrent events. For instance : -- ADDITIVE FRAILTY MODELS for proportional hazards models with two correlated random effects (intercept

Using build 70, I followed the zfsboot instructions at http:// www.opensolaris.org/os/community/zfs/boot/zfsboot-manual/ to the letter. I tried first with a mirror zfsroot, when I try to boot to zfsboot the screen is flooded with "init(1M) exited on fatal signal 9" Than I tried with a simple zfs pool (not mirrored) and it just reboots right away. If I try to setup grub

Hi, when i run the following code i get this massege: "The instruction at 0x######## reference memory at 0x#######, the memory cannot be "read". and then i have to close R. what is the problem and how can i solve it? thanks in advance Avi my code # frailtypack library(frailtypack) cgd.ag <- read.csv("C:/rfiles/RE/cgd.csv") cgd.nfm <-frailtyPenal(Surv(TStart,

Dear, I want to analyze two-level survival data using a shared frailty model, for which I want to use the R package 'Frailtypack", proposed by Rondeau et al. The dataset was built using SAS software. I also tried to change the format using SPSS and Excell. My (reduced) dataset has following column names: ID entry time status family var1 I used following command: >

R-Listers: I am doing a quasi-maximum likelihood estimation and I get a "subscript out of bound" error message, Typically I would think this means that a subscript used in the function is literally out of bounds however I don't think this is the case. All I change in the code is a constant, that is hard-wired in (not data dependent and not parameter dependent), furthermore,

Hi All, a colleague asked me if R has a function producing a Partial Rank Correlation Coefficient, sensu Blower and Dowlatabadi 1994 [1]. I personally would not have a clue, and I could not find something like that on the search page... although I would not be surprised if it's there under a different name. Incidentally, unfortunately the function, assuming it exists, is to be fed to some

Red Hat Software has been notified of a critical security problem (a buffer overrun) in /usr/bin/sperl*. As no official fix for this problem exists, we recommend turning off the setuid bit on /usr/bin/sperl*. As far as we know, this problem affects all platforms and all versions. As soon as a fix is available we will release a new version of the perl package and announce it here. If no fix seems

Hello, I have a cohort with approx 1,200 patients at the ages of 30-65 that had their first myocardial infarction during 1992: · They were in a follow up until 2005. · About 400 of them died during this period of time (right censored) · Each one of them had up to 4 mi recurrent events. I am using the semi-parametric model in order to assess the relationship of

Dear R users, I have been trying to estimate global sensitivity indices such as the sobol 1st and 2nd order indices. I managed to obtain the PRCC. The example presented in the sensitivity package on sobol2002 seems to work well for linear models: for example: calculate y for given x values. However, when trying to apply this technique to dynamic models (SIR type), the error messages just keep

Thanks Dimitris!!! That's much clearer now. Still have a lot of work to do this weekend to understand every bit but your code will prove very useful. Cheers, Aziz -----Original Message----- From: Dimitrios Rizopoulos [mailto:Dimitris.Rizopoulos at med.kuleuven.be] Sent: May 12, 2006 4:35 PM To: Chaouch, Aziz Subject: RE: [R] Maximum likelihood estimate of bivariate

Hi everyone, This series of patches of dm-ioband now includes "The bio tracking mechanism," which has been posted individually to this mailing list. This makes it easy for anybody to control the I/O bandwidth even when the I/O is one of delayed-write requests. Have fun! This series of patches consists of two parts: 1. dm-ioband Dm-ioband is an I/O bandwidth controller implemented

Hi everyone, This series of patches of dm-ioband now includes "The bio tracking mechanism," which has been posted individually to this mailing list. This makes it easy for anybody to control the I/O bandwidth even when the I/O is one of delayed-write requests. Have fun! This series of patches consists of two parts: 1. dm-ioband Dm-ioband is an I/O bandwidth controller implemented

Hi everyone, This series of patches of dm-ioband now includes "The bio tracking mechanism," which has been posted individually to this mailing list. This makes it easy for anybody to control the I/O bandwidth even when the I/O is one of delayed-write requests. Have fun! This series of patches consists of two parts: 1. dm-ioband Dm-ioband is an I/O bandwidth controller implemented