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The following code can be used to convert a 256 color BMP to LSS format for use as a SYSLINUX/ISOLINUX/PXELINUX Splash screen. The bitmap must be LESS than 640 pixels wide (bug) and only uses the first 16 colors. CorelDraw and PhotoShop are good for re-palletizing and dithering. Paul Shebanow pshebanow at iqcorp.com --- Begin Code --- Type RGBColor4 cBlue As Byte cGreen As Byte

Hi all, I am stuck at ploting multiple graphs on one page. I don't why it doesn't work. All the 6 plots are either exactly the same, or they simply don't plot at all. I made sure that in each iteration the "datasub" and "factorsub" are different ... Could you please help me? Thanks a lot! I did my homework and followed the following advice:

Hi all, I am facing difficulty on how to use bootstrap sampling and below is my example of function. Read a data , use some functions and use iteration to find the solution( ie, convergence is reached). I want to use bootstrap approach to do it several times (200 or 300 times) this whole process and see the distribution of parameter of interest. Below is a small example that resembles my

http://bugzilla.mindrot.org/show_bug.cgi?id=425 Summary: Integer overflow in mm_zalloc Product: Portable OpenSSH Version: 3.5p1 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P2 Component: Miscellaneous AssignedTo: openssh-unix-dev at mindrot.org ReportedBy: siw at

Hello everyone, I would appreciate any help with the following. My dataset is a list containing matrices. So if you type e.g. data[[1]] you get something like: [,1] [,2] 361a A T 456b A G 72145a T G ........ As you can see my rows have names which are character strings containing numbers and letters. I want something similar to a histogram, per column.

Hi, I have a large amount of data that I would like to create a histogram of and plot and do things with in R. It is pretty much impossible to read the data into R, so I have written a program to bin the data and now have a list of counts in each bin. Is it possible to somehow import this into R and use hist(), so I can, for instance, plot the probability density? I have looked at the help page

Everyone, I have an array of integer values which are located on a uniform 2-D grid. I want to plot the integer values at the node locations. The closest I have come is with the following code: for (i in 1:ny) { for (j in 1:nx) { ncell <- nx*(i - 1) + j ch <- as.character(ncount[ncell]) tx <- j*dx - dx/2 ty <- ny*dy - (i-1)*dy - dy/2 points(tx, ty, pch = ch, col =

Hi, I 'm a novice user of R statistics and my hands-on experience with it is minimal. I want to create a table for my MBA course assignment that looks like the ones that SPSS and MS Excel produces ,the data that the table has to include are the following : > table(agec) agec 1 2 3 749 160 32 > x=table(agec) > x agec 1 2 3 749 160 32 > > prop.table(x) agec

Given a data frame with a continuous variable and a factor. I would like to generate a histogram of the continuous variable, where each bar is filled with different colors according to the percentage of factor values falling into this region of the continuous variable. I looked into packages like 'lattice' and 'ggplot2'. Searching R-help revealed that 'histogram' is

This is release 0.9.54 of Wine, a free implementation of Windows on Unix. What's new in this release: - Photoshop CS/CS2 should now work, please help us testing it. See http://wiki.winehq.org/AdobePhotoshop for details. - A number of RPC fixes. - Various improvements to the debugger support. - Lots of bug fixes. Because of lags created by using mirrors, this message may reach you

The Wine development release 1.3.19 is now available. What's new in this release (see below for details): - New sound driver architecture for MMDevAPI. - Better support for relative mouse events in DInput. - Debugger support for the ARM platform. - Various improvements in D3DX9. - More MSVC runtime functions. - Various bug fixes. The source is available from the following

The Wine development release 1.7.5 is now available. What's new in this release (see below for details): - Support for registration-free COM using activation contexts. - Improved support for simulated bold fonts. - Unicode data updated to Unicode 6.3. - Better support for typelib registration on 64-bit. - Various bug fixes. The source is available from the following locations: