similar to: Question about levels/as.numeric

Hi Probably a very basic question: I am regressing a matrix of 50 response variables against a matrix of 10 factors using the lm function. This gives me an object with the output for 50 regressions, as required. How do I now "use" the data? For example, below is some code that generates sample data and shows me the summary statistics for regression 50. If I want to access the data,

Hi, I wondered about the behavior described in the following stackoverflow question: https://stackoverflow.com/questions/20674538/mclapply-returns-null-randomly More specifically, I would like to know if you ever considered the suggestion made in the comments of the first answer, namely to somehow warn the user if one of the processes has been killed by the out-of-memory killer ? I am always

Hello, After a great deal of tweaking, I finally got the Samba server working, so that it would accept domain logins. However, the problem I now have regards roaming profiles, which refuse to function. After successfully authenticating the user, the following 2 messages appear: Message 1: ---------- Windows cannot locate the server copy of your roaming profile and is attempting to log you on

Hi Thibault, mclapply has been designed to signal an error in two ways. User code errors are returned as special objects (of class "try-error") in the respective element of the result list. All other errors (including a process killed) are returned as NULL in the respective elements of the result list. To detect these errors reliably, one needs to implement FUN so that it never

Hi, I know it's been a topic many times here, but I've searched the archives, googled for days, and I simply don't believe, that there is still no solution to this. I'm using a PowerCom BNT-600AP ups with usb port. I've downloaded the latest version from svn, compiled it, and tried to use it: * megatec(_usb) - no luck, it did not find the UPS (I?ve read in this list, that

Hi I have a set of data with both quantitative and categorical predictors. After scaling of response variable, i looked for multicollinearity (VIF values) among the predictors and removed the predictors who were hinding some of the other significant predictors. I'm curious to know whether the predictors (who are not significant) while doing simple 'lm' will be involved in

Hi I have a set of data with both quantitative and categorical predictors. After scaling of response variable, i looked for multicollinearity (VIF values) among the predictors and removed the predictors who were hinding some of the other significant predictors. I'm curious to know whether the predictors (who are not significant) while doing simple 'lm' will be involved in

Dear useRs, I may be temporarily (I hope :-)) confused, and I hope that someone can answer this question that bugs me at the moment: In the CP table of rpart, I thought the following equation should hold: rel error = rel error(before) - (nsplit - nsplit(before)) * CP(before), where (before) always denotes the entry in the row above. While this equation holds for many rows of the CP tables

Dear R users, I'm trying to fit a gamma-frailty model on a simulated dataset, with 6 covariates, and I'm running into some results I do not understand. I constructed an example from my simulation code, where I fit a coxph model without frailty (M1) and with frailty (M2) on a number of data samples with a varying degree of heterogeneity (I'm running R 2.3.1, running takes ~1 min).

Hi Jan, After commit 2ca9fbd739b8a72b16dd790d0fff7b75f5488fb8 AMD IOMMU: allocate IRTE entries instead of using a static mapping, booting dom0 stalls several times. Sometimes this results in RCU stall warnings from the dom0 kernel, hitting the "any" key, on normal or serial console, makes the boot continue for a while but it stalls several times. (It also stalls on shutdown BTW) I have