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Hey, I have a few doubts with regard to the usage of the auto.arima function from the forecast package in R. *Background:* I have a set of about 50 time-series for which I would like to estimate the best autroregressive model. (I want to estimate the coefficients and order of p). Each of the series is non-stationary and are also have a non-normal distribution. The data is non-seasonal. My

I know they have software that does this. I'm just not sure which one it is. Basically here's the scoop. I'm on a cable modem connection with Comcast. I have a firewall router and I run a firewall on CentOS as well. All the same, other computers (probably zombies or hackers) are attempting brute force attacks on a couple of ports on my computer. I've just sat and watched them for

I've downloaded R for windows (9.0.1) and it is great! I've converted all my lecture notes for my GLM course to run on R (they are available on my web page below). I must admit I particularly like the default contrast options, which are identical to GLIM. Also I like the gl function - very useful! I have a couple of questions/bugs: 1. predict.glm doesn't work, but predict.lm does -

I want to build 2 servers (both running samba) to provide file storage to 2 offices (approx 100 miles apart, linked via DSL) but all data writen to 1 server must also be saved to the other server. Both servers would also allow users to access the data via a VPN thus allowing 1 office with a failed server to access the other server via the vpn and still see the data from both offices. I currently