search for: cisunix

Hello All, I've been getting an error using rsync that I've been trying to track down the cause of, but haven't been able to solve yet. When I try to connect to a remote rsync deamon, using a double colon address like 192.168.0.2::classes to copy files in either direction, I get this error after a timeout. @ERROR: chroot failed rsync: connection unexpectedly closed (128 bytes

Hi, I have missing values in my time series. "na.action = na.pass" works for acf and pacf. Why do I get the following error for the ccf? > ts(matrix(c(dev$u[1:10],dev$q[1:10]),ncol=2),start=1,freq=1) Time Series: Start = 1 End = 10 Frequency = 1 Series 1 Series 2 1 68.00000 138.4615 2 70.00000 355.5556 3 68.76000 304.3200 4 68.00000 231.4286 5 69.74194 357.4963 6

I installed R 2.13 on my Power PC (32 bit). The installation responds with the message; "Installed Successfully." R opens normally. When I attempt a simple example, like adding two numbers, it fails to respond. I must use Force Quit to stop it. I have no problems with R on my Intel Mac. I appreciate any suggestions for solving my problem. Thanks Paul

I installed XCode, XQuartz and OpenBUGS on my Mac using WINE. When I tried to test my installation I received the following error. If correct, BRugs does not exist for R 2.15.1. Is there a means to get arrange this problem? Thanks Paul The following code is an example from R Help bugs: > schools.sim <- bugs(data, inits, + parameters, model.file, n.chains=3, + n.iter=1000, +

Hi, I am attempting to fit a ARMA/GARCH regression model without success. ### ARIMA-GARCH model with regressor ### ### Time series data: A multivariate data set. cov.ts.dq = cov.ts[1:4,"dq1"][!is.na(cov.ts[,"dq1"])] cov.ts.day = ts.intersect(dq = diff(q.ts), day = lag(q.ts, -1)) ### The following R scripts work: (summary(no.day.fitr <- garchFit(dq ~ arma(0,3) +

7 Jan 09 Hello, I am using R version 2.7.0 in a Windows XP context. I am also using the glmm.admb package (created by Dave Fournier, Hans Skaug, and Anders Nielson) to run mixed-effects negative binomial models. To the best of my knowledge and ability, I have searched and studied the R-help, R-sig-mixed models, and ADMB NBMM for R (through Otter Research Ltd) list servs; R help