similar to: Sim City 4 won't start

Hi, I added the OpenGL parameter to Sim City 4 Deluxe. It works and the game is much faster running in OpenGL but Mouse Scrolling doesn't work. I nearly added this as a bug but decided to ask at the forum first (I have searched WineHQ's Bugzilla and couldn't find anything like this problem). I have tested and Mouse Scrolling does work without the OpenGL parameter.

I am trying to install my sim city 4 on my opensuse system. The first disk seems to install but when it asks for the second disk and I insert it and hit ok it keeps asking for the second disk. I have tried to copy the disk on the desktop and try the installation but it says the same thing. What am I doing wrong? I am running a alienware area 51m with a intel processor running a gig of memory. its

Hello. First, thank you a lot for Wine. It is really a fabulous project and ex windows users like me really say you thanks a lot each time we use Wine. Second, I have installed SimCity 4 (with the help of PlayOnLinux) and its expansion pack Rush Hour. Many things worked quite well. I would say this game almost works well. But here are my issues : - Game easily crashes with a heavy city with

Hello, I've just installed Rollercoaster Tycoon 3 Deluxe (I think it's called 'Platinum' in the US, the version with both addons) on my Kubuntu 8.04 partition with Wine 0.9.59. The installation works fine, but when I try to start the game, the following error message appears: "Please insert the original disc instead of a backup. See www.securom.com/copy for more

I've installed the program just fine, and it even started and ran just fine immediately after the installation, but now SimCity 4 will not open. Has anyone had this problem of it working fine the first go round but not at all after that? If you need more info, I'll be glad to give it to you. Thanks.

I have a copy of City Life Deluxe Edition that I would Like to play but I have been windows free for over a year now and I understand the rating is garbage for this game. Are the game reports pretty up to date? I am trying to figure out why the installer is hanging. I am also getting ready to install it from a friends computer and copying the installed folder over to my linux box to see if that

Hi, I have a number of games which have multiple install CD's which I have in ISO format (Need for Speed: Underground 2, Sim City: Deluxe and a few others). When I attempt to install the game I use the following command to Mount the game CD: mount '/home/user/gamefolder/gameimage.iso' /mnt/iso1/ -t iso9660 -o ro,loop=/dev/loop0 This mounts the Game Image to /mnt/iso and from there I

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!

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,

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