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Hi All, I have a 1000x1000000 matrix. The calculation I would like to do is actually very simple: for each row, calculate the frequency of a given pattern. For example, a toy dataset is as follows. Col1 Col2 Col3 Col4 01 02 02 00 => Freq of ?02? is 0.5 02 02 02 01 => Freq of ?02? is 0.75 00 02 01 01 ? My code is quite simple as the following to find the pattern ?02?.

...ib/libc.so.6(+0xfd539)[0x7fecab465539] /lib/libc.so.6(_IO_default_xsputn+0xcc)[0x7fecab3ddd1c] /lib/libc.so.6(_IO_vfprintf+0x14c)[0x7fecab3ad4ec] =============================================== The logs are also attached. Any ideas or patches to fix this problem ? Thanks! Best Regards, Tang-Hsun Tu _______________________________________________ Xen-devel mailing list Xen-devel@lists.xensource.com http://lists.xensource.com/xen-devel

Hi, A error message arose while I was trying to fit a ordinal model with lrm() I am using R 2.8 with Design package. Here is a small set of mydata: RC RS Sex CovA CovB CovC CovD CovE 2 1 0 1 1 0 -0.005575280 2 2 1 0 1 0 1 -0.001959580 2 3 0 0 0 1 0 -0.004725880 2 0 0 0 1 0 0 -0.005504850 2 2 1 1 0 0 0 -0.003880170 1 2 1 0 0 1 0 -0.006074230 2 2 1 0 0 1 1 -0.003963920 2 2 1 0 0 1 0

...lumns. My goal is to paint each dataset with a color on the same plot panel for each pair of the five variables. That is, in this example a 5x5 matrix consists 25 panels, and each panel would have two datasets with two different colors. Any comments and suggestions are welcome. Best, PingHsun [[alternative HTML version deleted]]

Hi, I am trying to read a tab-delimited file into R (Ver. 2.8). The machine I am using is 64bit Linux with 16 GB. The file is basically a matrix(~600x700000) and as large as 3GB. The read.delim() ran extremely slow (hours) even with a subset of the file (31 MB with 6x700000) I monitored the memory usage, and found it constantly only took less than 1% of 16GB memory. Does read.delim()

R function lm(response ~ term) allows me to run a linear regression on a single response vector. For example, I have recent one year historical prices for a stock and S&P index. I can run regression of the stock prices (as response vector) against the S&P index prices (as term vector). Now assume I have 1000 stocks to run the above regressions (against the same S&P index prices).

...file_3, and keep going on and on till all files are merged. If it is too complicated to do, merging all files together without the specified order is also an acceptable alternative. Here I am using R version 2.7.2 (2008-08-25) and x86_64-unknown-linux-gnu. Thank you for any advice and help! PingHsun

Hi, I am trying to plot my dataset, consisting of one column with numeric values and one column with group IDs. The set is similar to the following df. df <- NULL for ( i in 1:20) { tmp1 <- runif(1000,0,5) tmp2 <- cbind(tmp1,i) df <- rbind(df,tmp2) } Now I would like to plot the numeric column, stratified by the group IDs, in a single figure. First, I partitioned the frame

Dear Intel Engineers, I am unable to get Intel integrated graphics (IGD) VGA passthrough to work with Xen 4.0.1-rc6-pre, Xen 4.0.1-RELEASE, pv-ops dom0 kernel 2.6.32.19 and 2.6.32.21. The moment the command "xm create <Windows XP HVM guest>" is executed, the screen immediately goes blank with the label "NO SIGNAL". It may take anywhere from 3-10 minutes before

Dear Intel Engineers, I am unable to get Intel integrated graphics (IGD) VGA passthrough to work with Xen 4.0.1-rc6-pre, Xen 4.0.1-RELEASE, pv-ops dom0 kernel 2.6.32.19 and 2.6.32.21. The moment the command "xm create <Windows XP HVM guest>" is executed, the screen immediately goes blank with the label "NO SIGNAL". It may take anywhere from 3-10 minutes before