similar to: fractional end sector

syslinux-3.0.7 Cannot boot memdisk+harddisk image. 1) mkdiskimage -d image.dsk 10 64 32 (I get a 10485888 bytes file) 2) start dosemu+freedos with image.dsk loaded as d: and do sys d: then copy some files to d: 3) reboot dosemu using image.dsk as c: to verify it's bootable, and it is C:\>ver FreeCom version 0.82 pl 3 XMS_Swap [Mar 06 2004 10:49:37] C:\> 4) isolinux.cfg: label 999

Hi, I created a 4 Meg Byte primanry DOS patition onto a hard disk. This partition was formatted with format /s. The hard drive was able to boot DOS. After that I connected the drive to a Linux machine and created and image with the command dd if=/dev/had1 of=hard.img When I send this image to my PXE client I see on the screen: MEMLINUX: Image seems to have fractional end cylinder MEMLINUX:

When you add "quiet" to the append line, Syslinux doesn't display the file reading progress anymore. When you use this option to boot an image with MEMDISK, you still get a lot of text. ========================== LABEL mydisk LINUX memdisk INITRD mydisk.img APPEND raw quiet ========================== The following patch makes MEMDISK silent when the quiet keyword is passed to the

Dear R Helpers, I have searched for any R package or code for simulating multivariate fractional Brownian motion (mFBM) or multivariate fractional Gaussian noise (mFGN) when a covariance matrix are given. Unfortunately, I could not find such a package or code. Can you suggest any solution for multivariate FBM and FGN simulation? Thank you for your help. Best Regards, Ryan ----- Wonsang You

L.S. We would like to generate fractional design for a conjoint analysis. For example we would like to reduce 2x2x2x2x3 --> 12-16 profiles. We tried the R-package "conjoint" and we found an article which describes how to make fractional design for these kinds of studies with Algdesign: http://tolstoy.newcastle.edu.au/R/e10/help/att-8876/DCE_with_R.pdf However, the generated

Dear List, I am having problems converting a file with fractional seconds to class POSIXct. I have set my options to include digits.secs and my format to just time, but my output is the current date with my time lacking the fractions of a second. For example: options(digits.secs=3) t<-c("06:00:00.100","06:00:01.231") myt<-as.POSIXct(t,format="%H:%M:%S")

Dear folk, I am stempting to estimate a vector error correction model using a seemingly fractionally integrated multivariate time series. The *fracdiff *package provides tools to estimate degree of fractional integration. But *fracdiff *can't help me to: 1. test equality of two degrees of fractional integration, say d1=d2? 2. estimate a multivariate cointegrating error correction model,

I have columns of decimal numbers (representing fraction day of year). I need to separate the fractional part of the number (to the right of the radix point) from the integer part. For example, if the number were '207.65' Id like to make a separate column which contained only '65' or even better, '0.65.' What I am trying to do is separate day from night. Any ideas?? Thanks.

Full_Name: Jerry W. Lewis Version: 2.6.2 OS: Windows XP Professional Submission from: (NULL) (198.180.131.16) choose() returns incorrect values for all fractional arguments, regardless of sign. It returns 0 when both arguments are negative integers, which is not always correct (as in some formulations of the negative hypergeometric). Examples (correct answers from Maple's binomial

Hi, Does anyone know of a function in R that can handle a fractional variable as the dependent variable? The catch is that the function has to be inclusive of 0 and 1, which betareg() does not. It seems like GLM might be able to handle the fractional logit model, but I can't figure it out. How do you format GLM to do so? Best, Rachael [[alternative HTML version deleted]]

Dear All, I have analysed time to event data for continuous variables by considering the multivariable fractional polynomial (MFP) model and comparing this to the untransformed and log transformed model to determine which transformation, if any, is best. This was possible as the Cox model was the underlying model. However, I am now at the situation where the assumption that the competing risks

Hi list, I'm trying to generate fractional brownian surfaces in R. [A detailed description with respect to various techniques to generating these neutral landscapes has been described by Timothy Keitt (spectral representation of neutral landscapes, Landscape Ecology, 2000) and probably various other authours.] Are there any packages that deal with this or related items? I've been

- mkdiskimage -d image.dsk 2 64 32 - load it in dosemu and make it bootable with sys - isolinux: label 999 kernel memdisk append initrd=image.dsk harddisk c=2 h=63 s=32 results: memdisk 2.11 -> boots memdisk > 2.11 (up to 3.07) -> hangs The following message is printed in the boot messages > 2.11: MEMDISK: image has a fractional end sector The complete error message

Hello, I am searching for code in C++ or fortran for Modified Bessel function of third kind (fractional or real order). Can someone help me? Thank you --------------------------------- Découvrez un nouveau moyen de poser toutes vos questions quelque soit le sujet ! Yahoo! Questions/Réponses pour partager vos connaissances, vos opinions et vos expériences. Cliquez ici.

Hello, does anyone know about: a) simulating seasonal ARIMA models? arima out of package ts can fit it, but it does not look like it can simulates data from seasonal models b) fitting and simulating fractional seasonal ARIMA models? Hints will be appreciated, Henning -- Henning Rust Potsdam Institute for Climate Impact Research Dept. Integrated Systems Analysis Tel.: #49/331/288-2596

My comments: ;) >hmm, I'm thinking we could >spec out an ETREE metadata >block that you could use. Yes, I think this is a good idea. I'd like to incorporate this a s much as possible as the "FLAC Standard" if it's OK with you guys, since ideally FLAC will be the etree.org format of choice, replacing Shorten. >> Filesize compressed >> >this is

folks, does anyone know if the SEMIFAR model has been implemented in R? i see that there's a S-FinMetrics function SEMIFAR() that does the job, but I have no access to that software. essentially, this semiparametric fractional autoregressive model introduces a deterministic trend to the FARIMA(p,d,0) model (which, as i understand it, takes care of the random trend and short and long memory).

Dear R-users, I am trying to modify the mfp() function in the mfp package to model Weibull survival using fractional polynomials approach. However, I keep getting into trouble when mfp.fit and other "hidden" functions can't be found. I did find some of them in Splus but it's getting nowhere. I wonder if any of you can give me some tips on how to modify it or any experience

Fractional polynomials ("FPs") are an automatic way of fitting non-linear, parametric effects. The R-package mfp implements a frequentist inference approach for FP models. Recently, we have proposed a Bayesian inference approach for normal FP models, which is based on the quasi-default hyper-/g/ prior for the regression coefficients [1]. This approach is implemented in the new

Fractional polynomials ("FPs") are an automatic way of fitting non-linear, parametric effects. The R-package mfp implements a frequentist inference approach for FP models. Recently, we have proposed a Bayesian inference approach for normal FP models, which is based on the quasi-default hyper-/g/ prior for the regression coefficients [1]. This approach is implemented in the new