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Hi. I have made 100 experiments of an M/M/1 queue, and for each one I have calculated both, mean and variance of the queue size. Now, a professor has told me that variance is usually chi-squared distributed. Is there a way in R that I can find the parameter that best fits a chi-square to the variance data? I know there's fitdistr()m but this function doesn't handle chi-square. I believe

Dear all, I have been trying to speed up a process we have been done in ArcGIS. We have to read a single layer TIFF (monochrome image) in . For this, I have used the "rtiff" package. After reading the TIFF file, I compared the raw values for each pixel that I have in ArcGIS to the ones obtained in R. In ArcGIS I have discrete values in the range 0..255, while in R I have continuous

Full_Name: Julio Rojas Version: 2.2.1 OS: XP Pro Submission from: (NULL) (213.60.4.253) I was debugging a program with browser "()", made a couple of "plot"'s within the debugging console. Switched back from the plot window to the console window using the mouse, without closing the plot window, and the GUI crashed and disapeared. The program is still runing in memory, but

Dear @ll. I have to calculate numerical integrals for triangular and trapezoidal figures. I know you can calculate the exactly, but I want to do it this way to learn how to proceed with more complicated shapes. The code I'm using is the following: integrand<-function(x) { print(x) if(x<fx[1]) return(0) if(x>=fx[1] && x<fx[2]) return((x-fx[1])/(fx[2]-fx[1]))

Dear all, I have three vectors "x<-1:n", "y<-1:m" and "z<-2:(n+m)". I need to find all combinations of "x" and "y" that add up a given value of "z", e.g., for "z==3" the combinations will be "list(c(1,2),c(2,1))". Thanks in advance for your help.

Dear all. I have to plot a the marginal population density for a heat map that represents the population density of a city. I have been able to plot the heat map in the lower left corner, the marginal density in x in the upper left corner and the marginal density in y in the lower left corner. What I need is to change this plot to include the marginal density in the diagonal direction of 135

Dear all, I have been working in a plot based on figure 5.6 of the Lattice book (http://lmdvr.r-forge.r-project.org/figures/figures.html). I have already modified it to include the size of the circles as another variable, but I would like to modify the legend to show it (like they do it in http://www.jstatsoft.org/v15/i05/paper). I have divided my variable in intervals: DATA$s_Shape_2 <-