similar to: Stats 101 : lm with/without intercept

Hi All, I just installed Cairo on R 2.5.1 on windows XP. My hope was to get to see the transparency output e.g. http://had.co.nz/ggplot2/stat_smooth.html ggplot2 - stat_smooth , which I finally managed to do. However, I find the Cairo device, which I access either through CairoWin() or Cairo(type="win"), is pretty shaky in a number of respects : - whatever portion of the Cairo

Good morning! Please, could you help me with the problem? I have a matrix *144x73.* An example of a matrix: [,1] [,2] [,3] [,4] [,5] [1,] 277.4 276.24 275.62 276.55 278.05 [2,] 277.4 276.24 275.55 276.42 277.72 [3,] 277.4 276.24 275.50 276.22 277.39 [4,] 277.4 276.24 275.42 276.02 277.02 [5,] 277.4 276.22 275.37 275.82 276.64 And I want to *compare*its cells

Dear R-helpers: It seems that I have a mental block. (Some say that it sits atop my shoulders.) For reasons too tedious to retell I have an R object: > input.line[7] [1] "-13.24, -11.24, -9.24, -7.24, -5.24, -3.24, -1.24, 0.76, 2.76, 4.76, 6.76, 8.76, 10.76, 12.76, 14.76, 16.76, 18.76, 20.76, 22.76, 24.76, 26.76, 28.76, 30.76, 32.76, 34.76, 36.76, 38.76, 40.76, 42.76, 44.76, "

Estimada comunidad tengo un problema del que no encuentro datos que me ayuden mucho en la web. Estoy haciendo calculos por grupos con data,table. Tengo un archivo (zp.res) con tres columnas que clasifican los datos (sol, con, dia) y una columna de datos numericos (media), de la siguiente forma: sol con dia media 1: con 0 1 -22.6 2: con 0 1 -36.6 3: con 0 1 -35.6 y

Hello to the R world... I have some problems regarding a GLM - repeated measures analysis. I want to test overall differences between AgeClass and Treatment (between subject) with OpenR1+OpenR2+OpenR3 (repeated measures, within subject). The table looks kind like this: AgeClass Treatment OpenR1 OpenR2 OpenR3 1 1 0 0 12.63 1 1 12.67 3.83 45.67 1 1 38.46 65.38 75.21 1 1 14.46 0 17.96 1 2 27.83

Hi, I tried to inverse a matrix but it doesn`t work. I hope somebody can help me. This is what I did. > kurse <- read.table("kurse.txt", header=T, dec=",") > x <- cbind(1,kurse[,-c(1)]) > y <- kurse$index > t(x) %*% x Error in t(x) %*% x : requires numeric matrix/vector arguments > x <- as.matrix(x) > xtxi <- solve(t(x) %*% x) Error in

Hi I'm trying to setup a 3 node gluster, and am hitting huge performance bottlenecks. The 3 servers are connected over 10GB and glusterfs is set to create a 3 node replica. With a single VM performance was poor, but I could have lived with it. I tried to stress it by putting copies of a bunch of VMs on the servers and seeing what happened with parallel nodes.. network load never broke

Hi All, I need to parse data from a file, example shown below. The first two lines can be skipped, the third line contains the column names. The next 13 lines can be skipped. The next line "1991" is a year value, with the following 13 values data for that year. The file then repeats this format with (year, 13 lines of data for that year). I would ideally like to end up with an

Hi, So is the KVM or Vmware as the host(s)? I basically have the same setup ie 3 x 1TB "raid1" nodes and VMs, but 1gb networking. I do notice with vmware using NFS disk was pretty slow (40% of a single disk) but this was over 1gb networking which was clearly saturating. Hence I am moving to KVM to use glusterfs hoping for better performance and bonding, it will be interesting to see

I've been getting this error message for a few days from a customer's server and we can't seem to decipher it. I googled for it and only found references to it with respect to much older versions of rsync. We're running the Debian packaged version of rsync version 2.6.2-3. The customer side is running 2.6.3 compiled from source. #### inflate (token) returned -5 rsync error:

Dear All, The code given bellow is to extract values of one region and write that to a text file(there are 365 binary files in the directory). The problem which I am facing is that all my files are binary with size of 360 rows and 720 columns. I specified that in this line: file2<-matrix(data=file,ncol=720,nrow=360) but I got an error : Error in mean(file2[X, Y], na.rm = TRUE) : subscript

Hi, I'm just wondering if it is planned to include the Lapack routine DGESDD (and friends) in R-1.4.0? This is faster (supposedly by a factor of ~6 for large matrices) than DGESVD which is currently (R-1.3.1) called by La.svd. And if it is not in the plans yet, is there a chance it could be? I've added it to my local version of R-1.3.1 and so far see a factor of 4 improvement over

Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934

i would like to use the module puppet-lvm and would like to pass values to it. I have it setup properly as a module but I can''t for the lfe of me get it to take any values that I put in my baseconfig.pp in my home folder. like shouldn''t something like this work?? puppet-lvm {''setvolume'': vg => ''myvg'', pv =>