search for: perps

How does one ideally handle and display multidimenstional contingency tables in R v. 2.6.2? E.g.: > prob1<- data.frame(victim=c(rep('white',4),rep('black',4)), + perp=c(rep('white',2),rep('black',2),rep('white',2),rep('black',2)), + death=rep(c('yes','no'),4), count=c(19,132,11,52,0,9,6,97)) > prob1 victim perp

Dear All, I am sure this is a one-liner, but I cannot find the R command to generate the LaTex symbols \perp and \parallel. Consider for instance the figure (one can use any kind of data for the plot) pdf("friction_linear_chain_perpendicular.pdf") par( mar = c(4.5,5, 2, 1) + 0.1) plot(data[ ,1], data[

Hello, In a previous email, Matthias mentioned that register pressure estimates in the machine scheduler are not absolute; they only account for the registers that are used in the block.I assume that he meant that registers that are live-through (both live-in and live-out) are not accounted for in register pressure calculations. If a register is either live-in or live-out but not both, it must be

Dear R-list, Hi everyone, Im trying to make an analysis of multidimensional contingency tables using R. I' working with the Agresti example where you have the data from 3 categories. The thing is how can I do the analisys using the G2 statistics. Somebody can send me an Idea? I attach the program where you can find the data. Best Regards, > prob1<-

Hey, Does anyone know of an equivalent to the LaTeX \perp (perpendicular) symbol for adding to R plots? Parallel is easy enough ("||"), but I haven't been able to find a way of adding perpendicular. The plotmath documentation doesn't mention how to do it, so I'm inclined to think that it doesn't exist - but surely there must be some way of achieving the desired result,

From: Wade Maxfield <maxfield@ctelcom.net> > Many thanks to the moderator who pointed out errors and suggested the > correct information on this post. Over half the ideas are due to him. ;) > 1. Programs put data in local variables in functions. These variables > are on the computer stack. Feeding data to those variables (usually > string variables) causes the

...hics. I need the axis's labels smaller than by defect. I see in 'help()', the information about 'par()'. I have wrote: >par(.....,cex.axis=0.5,cex.lab=0.5) perspc(.................) and the result don't change. The question is: Can I change the size of labels in the perps graph?? Thank you in advance: /salva 'cex.axis' The magnification to be used for axis annotation relative to the current setting of 'cex'. (Some functions such as 'points' accept a vector of values which are recycled. Other uses will...

...hics. I need the axis's labels smaller than by defect. I see in 'help()', the information about 'par()'. I have wrote: >par(.....,cex.axis=0.5,cex.lab=0.5) perspc(.................) and the result don't change. The question is: Can I change the size of labels in the perps graph?? Thank you in advance: /salva 'cex.axis' The magnification to be used for axis annotation relative to the current setting of 'cex'. (Some functions such as 'points' accept a vector of values which are recycled. Other uses will...

Many thanks to the moderator who pointed out errors and suggested the correct information on this post. Over half the ideas are due to him. ;) Don't forget this is about writing your own daemon or TCP program. Some of the ideas here will not happen with today's software that has been hardened. It is presented to prevent your software from being taken advantage of. Most often,

http://wxruby.rubyforge.org/wiki/wiki.pl Is there any way to restore it? -- Posted via http://www.ruby-forum.com/.

Hi, I am trying to draw a perpendicular line from a point to two points. Mathematically I know how to do it, but to program it, I encounter some problem and hope can get help. Thanks. I have points, A, B and C. I calculate the slope and intercept for line drawn between A and B. I am trying to check whether I can draw a perpendicular line from C to line AB and get the x,y value for the point D

Dear All, The function curve() draws the graph of functions from R to R. Is there some homologous function to curve() to draw functions from R^2 to R? Thanks in advance, Paul

I decided I wanted an "infinity" in some label text. Many of these symbols should probably be incorporated in a different way, but they don't seem to do any harm as is. *** plotmath.c.orig Fri Sep 25 17:21:33 1998 --- plotmath.c Fri Sep 25 17:46:57 1998 *************** *** 183,188 **** --- 183,232 ---- "psi", 121, "zeta", 122, + "therefore",

Hi, I went ahead and implemented something. However: - I cannot garantie it gives correct results since, unfortunately, the data used in Syrjala 1996 is not published along with the paper. To avoid mistakes, I started by coding things in a fast and simple way and then tried to optimize the code. At least all versions given the same results. - As expected, the test is still quite slow

Hello eveybody, I am studying the vertical distribution of plankton and want to study its variations relatively to several factors (time of day, species, water column structure etc.). So my data is special in that, at each sampling site (each observation), I don't have *one* number, I have *several* numbers (abundance of organisms in each depth bin, I sample 5 depth bins) which

Dear R helpers, I think that this may be a bit of a math question as the more I consider it, the harder it seems. I am trying to come up with a way to work out the minimum distance between line segments. For instance, consider 20 random line segments: x1 <- runif(20) y1 <- runif(20) x2 <- runif(20) y2 <- runif(20) plot(x1, y1, type = "n") segments(x1, y1, x2, y2)

On Sep 17, 2013, at 11:04 AM, Ghassan Shobaki <ghassan_shobaki at yahoo.com> wrote: > 1. The SD schedulers significantly impact the spill counts and the execution times for many benchmarks, but the machine instruction (MI) scheduler in 3.3 has very limited impact on both spill counts and execution times. Is this because most of you work on MI did not make it into the 3.3 release?

Hi Andy, We have done some experimental evaluation of the different schedulers in LLVM 3.3 (source, BURR, ILP, fast, MI). The evaluation was done on x86-64 using SPEC CPU2006. We have measured both the amount of spill code as well as the execution time as detailed below. Here are our main findings: 1. The SD schedulers significantly impact the spill counts and the execution times for many

-----Original Message----- From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of r-help-request at r-project.org Sent: Monday, February 11, 2008 12:00 PM To: r-help at r-project.org Subject: R-help Digest, Vol 60, Issue 11 Send R-help mailing list submissions to r-help at r-project.org To subscribe or unsubscribe via the World Wide Web, visit