search for: arbitray

hi - i just started using R as i am trying to figure out how perform a linear regression on a huge matrix. i am sure this topic has passed through the email list before but could not find anything in the archives. i have a matrix that is 2,000,000 x 170,000 the values right now are arbitray. i try to allocate this on a x86_64 machine with 16G of ram and i get the following: > x <- matrix(0,2000000,170000); Error in matrix(0, 2e+06, 170000) : too many elements specified > is R capable of handling data of this size? am i doing it wrong? cheers paul

hi all i have a function that uses two inputs, say xdata and ydata. An example is the following, simple1<-function(xdata,ydata) { ofit<-lm(ydata~xdata) list(ofit) } say i use arbitray number for xdata and ydata such that D = x1 x2 y 1 1 10 2 6 6 3 10 7 x<-D[,1:2] and y<-D[,3] if one uses these inputs and rund the program we get the following: >simple(xdata=x,ydata=y) Error in model.frame(formula, rownames, variables, varnames, extras, extranames, : in...

...I am R newbie creating a function that implements the poker test to test pseudo random bit generators. Iam reading the bits from a text file (1 bit per line), which causes each bit to be stored in an element of a numeric vector. What Iam trying to do is to extract a "block" of bits of arbitray size from the original vector into a smaller numeric vector and then count this binary number (and keep repeating this until the end of the vector, so that I get a vector containing the number of times each binary number has occured) e.g. original vector: "0", "1","1&q...

...es in advance for a kind of long question: I've written an application called changedfiles (http://www.bangstate.com/software.html#changedfiles), which consists of two parts: a linux kernel module that reports all file operations to a device special, and a userspace daemon which can take arbitray shell action on files matching regexp rules specified in a config file. E.G., to configure a "hot folder" that would automatically convert .jpg's to .pngs, I'd define a rule like follows: RULE ^/export/home/image-converter.*\.jpg$ OPENW /usr/bin/convert _FILE_ `dirname...

...d various 'smart' ways of calculating starting estimates (grid searches, optim(), etc.) but however close the starting estimates are to the actual values, nls still fails for many datasets. The weirdest thing is, I have one set of starting estimates (alpha= 0.5 and E=1.85) which are totaly arbitray and these DO work for, say 99% of the datasets. I don't know why this is and I don't why my 'good estimates' do not work. I am desperatly seeking a way of calculating working starting estimates for my nls function. Can anybody give me a hand? thanks, Anto R version 2.9.2 example...

Hey I am now studying the statistical indepdence between arbitray two random variables. And want to use Cumulant or related method as the starting point. So anybody has some hints on providing me some good textbooks or papers on cumulant or statistical indepdence criteria? Thanks a lot. Fred

Hi wizards, I need to know how can I generate this numbers I have n numbers N1,N2 , Nn , but Nn = 1- sum(N1+N2+...+Nn-1) and sum(N1+N2+..Nn)=1 and N1,N2,..Nn with 0<N<1 . Does somebody know how to generate it ? Some distribution or algorithm. Thanks in advance. -- Web Page http://www.geocities.com/ricardo_rios_sv/index.html

Are integers strictly a signed 32 bit number on R even if I am running a 64 bit version of R on a x86_64 bit machine? I ask because I have integers stored in a hdf5 file where some of the data is 64 bit integers. When I read that into R using the hdf5 library it seems any integer greater than 2**31 returns NA. Any solutions? Thanks, Theo [[alternative HTML version deleted]]

Are integers strictly a signed 32 bit number on R even if I am running a 64 bit version of R on a x86_64 bit machine? I ask because I have integers stored in a hdf5 file where some of the data is 64 bit integers. When I read that into R using the hdf5 library it seems any integer greater than 2**31 returns NA. Any solutions? Thanks, Theo [[alternative HTML version deleted]]

...view Several vulnerabilities have been found in the server-side code of some extensions in the X Window System. Improper validation of client-provided data can cause data corruption. Impact Exploiting these overflows will crash the X server or, under certain circumstances allow the execution of arbitray machine code. When the X server is running with root privileges (which is the case for the Xorg server and for most kdrive based servers), these vulnerabilities can thus also be used to raise privileges. All these vulnerabilities, to be exploited successfully, require either an already establishe...

I have been taking a break for the last month or so, and am only just now catching up on my email. Otherwise, I would have joined this discussion earlier. And... I apologize for the length of this, but I don't think it is overly long. >From the amount of activity in the LispStat news group (none), it seems that LispStat is dead. We all know that Luke is working on R and not on LispStat,

...function target attributes to pragma igt/vgem_slow: Test for the expected -ETIMEDOUT upon fence timeout igt/prime_vgem: Check for fence wait before gem_read() igt/gem_concurrent_blit: Hook up vgem dmabuf igt/prime_vgem/fence-read: Insert a delay igt/prime_vgem: Replace arbitray delay with backchat from child igt/prime_vgem: Test set-domain on foriegn dma-bufs lib: __drm_open_driver() needs to report the error igt/gem_exec_nop: Display submission mechanism overlay: Fix -G (--geometry) parsing lib/sysfs: Provide a convenience function for readi...