similar to: Sim Tower

PC: Dell Inspirion 1300 w/ 1.6GHZ Intel and 512MB ram configuration OS: Lucid Lynx Xubuntu Beta 2 fully Updated like listed Installer fails to exit after install however when ran, "winevdm.exe" crashes and this is seen in terminal cael at cael-laptop:~/.wine/drive_c/SIMTOWER$ wine simtower fixme:winmm:MMSYSTDRV_SetHandle Already has a thunk for this handle (nil)!!! wine: Unhandled page

Dear List, Trying to explain my situation as simply as possible for me: I am running a series of iteration on coxph model on simulated data (newly generated data on each iteration to run under coxph; in my example below- sim.fr is the generated data). However, sometimes i get warning messages like "Ran out of iterations and did not converge" or "Error in var(x, na.rm = na.rm) :

Thanks to Kevin and Paul for responses. We use a modified Tower of Hanoi scheme (on top of rsync and --link-dest and recycling) for deciding which backups to keep. Here is a sample of our holdings for one area: home.20111124.seq.0 set 0 home.20130512.seq.512 set 10 home.20140203.seq.768 set 9 home.20140414.seq.832 set 7 home.20140708.seq.896 set 8 home.20140815.seq.928 set 6

Hi everybody, following UPS is successfuly tested. Model: FSP Champ Tower 1k https://www.fsp-europe.com/CS/champ-tower-series-1k2k3k/ lsusb: Bus 002 Device 004: ID 0665:5161 Cypress Semiconductor USB to Serial ups.conf: [powerpal]     driver = blazer_usb     port = /dev/hidraw0 Mode = standalone Distro = CentOS 8 What I did to get UPS communicate. In terminal run as root: ln -s

hi! some time ago i have purchased card reader for scanning sim-card. it have usb inerface. in set was cd with soft (as usual only for windows) soft on cd: usb-driver installer sim max 5.16 & i try to run it on mandriva2008 kernel 2.6.22.9 first i try to install 'usb-driver installer.exe' then install sim max 5.16(it's 2 prog.: sim editor and sim scanner),but that's wrong way!

http://bugs.freedesktop.org/show_bug.cgi?id=15857 Summary: Errors in Desktop Tower Defense (flash game) Product: swfdec Version: git Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: library AssignedTo: swfdec at lists.freedesktop.org

I have been trying to simulate from a time series with trend but I don't see how to include the trend in the arima.sim() call. The following code illustrates the problem: # Begin demonstration program x <- c(0.168766559, 0.186874000, 0.156710548, 0.151809531, 0.144638812, 0.142106888, 0.140961714, 0.134054659, 0.138722419, 0.134037018, 0.122829846, 0.120188714,

1.3.5 had a page fault in the legacy (win'95/95) game. Here is the log. [code] fixme:exec:SHELL_execute flags ignored: 0x00000100 fixme:exec:SHELL_execute flags ignored: 0x00004100 fixme:win:EnumDisplayDevicesW ((null),0,0x33eba4,0x00000000), stub! fixme:win:EnumDisplayDevicesW ((null),0,0x33f584,0x00000000), stub! fixme:win:EnumDisplayDevicesW ((null),0,0x33f590,0x00000000), stub!

In some time series simulations I'm doing, I occasionally want the model to be ``white noise'', i.e. no model at all. I thought it would be nice if I could fit this into the arima.sim() context, without making an exceptional case. I.e. one ***could*** do something to the effect if(length(model)==0) x <- rnorm(n) else x <- arima.sim(model,n) but it would be more suave if one

Dear Sir, I think I found a bug in the function arma.sim, which is defined in the help page of the function filter: arma.sim <- function(n, ar = NULL, ma = NULL, sigma = 1.0) { x <- ts(rnorm(n+100, 0, sigma^2), start = -99) if(length(ma)) x <- filter(x, ma, sides=1) if(length(ar)) x <- filter(x, ar, method="recursive") as.ts(x[-(1:100)]) } I am using R

Hello, I have used the arima.sim function to generate a lot of time series, but to day I got som results that I didn't quite understand. Generating two time series z0 and z1 as eps <- rnorm(n, sd=0.03) z0 <- arima.sim(list(ar=c(0.9)), n=n, innov=eps) and z1 <- arima.sim(list(ar=c(0.9)), n=n, sd=0.03), I would expect z0 and z1 to be qualitatively similar. However, with n=10 the

Hi! I'm considering to buy a GSM bridge to save on GSM calls. Right now they are offering subscriptions with 200 minutes each month for almost nothing, however the 400 minutes subscriptions are considerably more expensive. Most GSM bridges can cater for 2 SIM cards, is there a way for Asterisk to run the first SIM card to it's max and then switch to the second? (If one call would

I am trying to simulate time series data for an ar(1) and ma(1) process. I want the error term to have either a t distribution with 1 degree of freedom or a normal distribution with mean=0 and sd=1. Here is my code: error.model=function(n){rnorm(n,mean=0, sd=1)} data<-arima.sim(model=list(ar=c(0.1)), n=1000, n.start=200, start.innov=rnorm(200,mean=0, sd=1), rand.gen=error.model ) data

Hi, I am using the arima.sim function to generate some AR time series. However, the function does not seem to produce exactly the same time series when I specify the innov parameter. For example > r <- rnorm(300) > x <- arima.sim(300, model=list(order=c(1,0,0),ar=c(.96)), innov=r, n.start=10) > y <- arima.sim(300, model=list(order=c(1,0,0),ar=c(.96)), innov=r, n.start=10) >

Apologies for thickness - I'm sure that this operates as documented and with good reason. However... My understanding of arima.sim() is obviously imperfect. In the example below I assume that x1 and x2 are similar white noise processes with a mean of 5 and a standard deviation of 1. I thought x3 should be an AR1 process but still have a mean of 5 and a sd of 1. Why does x3 have a mean of ~7?

Full_Name: Gang Liang Version: 1.7.1 OS: Debian/Woody Submission from: (NULL) (192.6.19.190) > print(arima.sim(list(ar=.3,order=c(1,1,1)), 30)) [1] 0.00000000 0.10734243 0.02907301 -1.23441659 -0.98819317 -2.82731975 [7] -2.69052512 -4.22884756 -5.02820635 -5.41514613 -6.20486350 -7.01040649 [13] -6.78121289 -5.41111810 -4.96338053 -5.42395408 -6.22741444 -5.75228153 [19] -6.07346580

Hi Everyone, I'm having a problem with arima.sim. Namely specifying inital values for the series. If I generate a random walk > vs = rnorm(100,0,1) > xs = cumsum(vs) and fit an ARIMA(1,0,0) to it > xarima = arima(xs,order=c(1,0,0)) > xarima Call: arima(x = xs, order = c(1, 0, 0)) Coefficients: ar1 intercept 0.9895 8.6341 s.e. 0.0106 6.1869 I should

Hello, I have a question about function arima.sim I tried to somulate a AR(1) process, with no innovation, no error term. I used this code: library(forecast) e=rnorm(100,mean=0,sd=0) series=arima.sim(model=list(ar=0.75),n=100,innov=e)+20 Then I tried to applicate ti this series auto.arima function: mod1<-auto.arima(series,stepwise=FALSE,trace=TRUE,ic='aicc') The best model returned

Dear all: My experience in using hosking.sim to generate random time series is that it requires an n-length autocorrelation function (ACF; order 0 to n-1) to generate n-length random vectors. I have attempted to utilize shorter than n-length (i.e. truncated) ACF's with hosking.sim to generate n-length random vectors, but the function will not operate for n-length time series without the

Hi List; Is there an Digium cards support GSM SIM cards so we can fix an SIM card to be used for calls within mobiles as it is less rate? Or I have to use an FXS to SIM adaptor? If yes, then anyone advise a models and prices? Regards Bilal ____________________________________________________________________________________ Be a better friend, newshound, and know-it-all with Yahoo!