similar to: a simple problem

Thanks to ww and his patch on bug #104, I have successfully implemented Asterisk behind NAT without using STUN or anything crazy. It's quite straight forward. Until this gets tested enough and put into CVS, you will have to patch your chan_sip.c file to do this. I'm sure within the next few days this will get put merged into CVS if no one finds any problems. I tried this on chan_sip.c

I have a data set for different time intervals. The data has three comment lines before data for each time interval. For each time interval there are 500 data points. I want to change the dataset such that I have the following format: t1 t2 t3 ................ 0.00208 0.00417 0.00625 ................. a1 a2 a3 ...................

Hello, I need some help on a regression I am running please. I am running a multiple regression in R and I am getting weird outputs and would like your help in resolving it. This is the code I run: Reg = lm (Final$Y.t.-Final$Y.t.1. ~ Final$ Y.t.1. + Final$Cor + Final$Gov+ Final$Inv+ Final$TrOp + Final$Pop+ Final$Sch , data = Final) summary(Reg) And the output I get is pasted below. As

Dear expeRts, I would simplify following code. --------------------------------------------- youtput <- function(x1, x2){ n <- length(x1) y <- vector(mode="numeric", length=n) for(i in 1:n){ if(x1[i] >=5 & x1[i] <= 10 & x2[i] >=5 & x2[i] <=10) y[i] <- 0.631 * x1[i]^0.55 * x2[i]^0.65 if(x1[i] >=10 & x1[i] <= 15 &

Hi Rabby, Before you run your regression, try this: is.factor(Final$Cor) If this returns TRUE, then this variable is a factor and it will be treated as a number of levels rather than a set of numeric values. This usually happens when a text file is read in and there is at least one value that cannot be converted to numeric. So if you are doing something like this:

Hi, How do I can make a lagged scatterplot of two variables: Yt (nao) versus Xt-h (mei) if they have the following structure: >series mei nao Jan 1950 -1.036 0.55 Feb 1950 -1.133 3.31 Mar 1950 -1.259 0.81 Apr 1950 -1.027 1.60 May 1950 -1.399 -1.73 Jun 1950 -1.366 1.26 Jul 1950 -1.300 -0.87 . . . I've tried with lag.plot but I don't understanf how to use it Thanks in

Hi expeRts, I would like to calculate weighted mean by two factors. My code is as follows: R> tmp <- by(re$meta.sales.lkm[, c("pc", "sales")], re$meta.sales.lkm[, c("size", "yr")], function(x) weighted.mean(x[,1], x[,2])) The result is as follows: R> tmp size: micro yr: 1994 [1] 1.090

I have a file, each column of which is a separate year, and each row of each column is mean precipitation for that month. Looks like this (except it goes back to 1964). month X2000 X2001 X2002 X2003 X2004 X2005 X2006 X2007 X2008 X2009 1 1.600 1.010 4.320 2.110 0.925 3.275 3.460 0.675 1.315 2.920 2 2.960 3.905 3.230 2.380 2.720 1.880 2.430 1.380

> I'm pretty sure that is incorrect. The inside_net is the ip address of > the asterisk server, and the inside_mask is the subnet mask. At least > that is how I have mine setup in my sip.conf, and it works. > > inside_mask for the internal mask would make more sense to me as well :) > > -- > Leif Madsen <leif@hacklocalhost.com> > http://www.hacklocalhost.com

This patch causes --exclude-from and --include-from to read from STDIN when given - for a filename. This was formerly incorporated in my --link-dest patch. Patch against current cvs. -- ________________________________________________________________ J.W. Schultz Pegasystems Technologies email address: jw@pegasys.ws Remember Cernan and Schmitt -------------- next part

When I load a table from a data source and run summary() on it, the summary gives me basic summary statistics I'm looking for, and it also discriminates between quantitative and qualitative data and summarizes them accordingly. For example, if I do this: mydata <- read.table("data.txt") summary(mydata) I would get output like this: > summary(mydata) County

Hello all! I have a problem to extract values greater that for example 1820. I try this code: x[x[,1]>1820,]->x1 Please help me! Thank you! The data structure is: structure(c(2.576, 1.728, 3.434, 2.187, 1.928, 1.886, 1.2425, 1.23, 1.075, 1.1785, 1.186, 1.165, 1.732, 1.517, 1.4095, 1.074, 1.618, 1.677, 1.845, 1.594, 1.6655, 1.1605, 1.425, 1.099, 1.007, 1.1795, 1.3855, 1.4065, 1.138, 1.514,

Hi all, I''m getting my feet wet in the infiniband lake and of course I run into some problems. It would seem I got the compilation part of sles11 kernel 2.6.27 + Lustre 1.8.3 + ofed 1.4.2 right, because it allows me to see and use the infiniband fabric, and because ko2iblnd loads without any complaints. In /etc/modprobe.d/lustre (this is a Debian system, hence this subdir of

Hi OpenSSH'lers! While using OpenSSH for quite a while, I became annoyed with the inflexible config-file parsing algorithm. I special it did not alow me to express: "Use *no* proxy for host xyz, but *this* proxy for all other hosts". So I had a look at the source an make a quick-n-dirty change, allowing me to use the special ProxyCommand "None" to express "don't

Hi friends, I need to generate a list, that should contain the quantile value of one column in a data frame. while I am compiling this one i am facing one bug,, Really I cannot find out that where the problem has occurred? Could any one help me to come out from this bug?? Here is the code, data <- lapply(comb.data$zFE, function(x) aggregate(x,

Hi, I have been trying unsuccessfully to plot data using different colors based on a variable within a subset of an imported file. The file I am reading is about 20000 lines long and has a column (in the example called FILE) that contains approximately 100 unique entries. I would like to plot a subset of the data from the file and key the color from the FILE column, This is what my file looks like

On Tue, Sep 15, 2009 at 5:35 PM, David Greene <dag at cray.com> wrote: > > Remember, the goal here isn't to show how great LLVM is. It's to get an > honest assessment of where we are at. Phoronix did us a big favor. > Getting > more details about his tests would help us even more. > It's exactly what I'm trying to do. I'm not even a LLVM

Hello all! I have a problem with R. I try to merge data like this: structure(c(2.1785, 1.868, 2.1855, 2.5175, 2.025, 2.435, 1.809, 1.628, 1.327, 1.3485, 1.4335, 2.052, 2.2465, 2.151, 1.7945, 1.79, 1.6055, 1.616, 1.633, 1.665, 2.002, 2.152, 1.736, 1.7985, 1.9155, 1.7135, 1.548, 1.568, 1.713, 2.079, 1.875, 2.12, 2.072, 1.906, 1.4645, 1.3025, 1.407, 1.5445, 1.437, 1.463, 1.5235, 1.609, 1.738, 1.478,

Updated to current cvs without the --exclude-from - patch. This patch allows specifying a --link-dest path similar to --compare-dest except that unchanged files are hard-linked to the --link-dest path instead of producing a sparse tree. -- ________________________________________________________________ J.W. Schultz Pegasystems Technologies email address: jw@pegasys.ws Remember

This should be very easy, but alas, I'm very new to R. My end goal is to calculate p-values from arima(). Let's say I just ran this: > MyModel <- arima(y[1:58], order=c(1,0,0), xreg=MyData[1:58,7:14], > method="ML") > MyModel And I see: arima(x = y[1:58], order = c(1, 0, 0), xreg = MyData[1:58, 7:14], method = "ML") Coefficients: ar1