similar to: Recuperate Spectrum() amplitude

I am working with this setup: LLVM+Clang Compiler on an Ubuntu 64bit OS. Questions: Is it possible to get the return addresses of virtual function call and non virtual C++ methods inside Clang and LLVM. Is thre a way to get the candidate addresses where the return address points back after each function return was performed. I have a few questions and hopefully you guys can help me out. The

Hello, in my log.nmb I regularly see these messages: process_local_master_announce: Server GUTENBERG at IP 192.168.35.90 is announcing itself as a local master browser for workgroup PIEZO and we think we are master. Forcing election. 1998/08/10 12:57:03 ***** Samba name server FAURE has stopped being a local master browser for workgroup PIEZO on subnet 192.168.32.1 ***** 1998/08/10

I am working with this setup: LLVM+Clang Compiler on an Ubuntu 64bit OS. Questions: Is it possible to get the return addresses of virtual function call and non virtual C++ methods inside Clang and LLVM. Is thre a way to get the candidate addresses where the return address points back after each function return was performed. I have a few questions and hopefully you guys can help me out. The

I am working with this setup: LLVM+Clang Compiler on an Ubuntu 64bit OS. Questions: Is it possible to get the return addresses of virtual function call and non virtual C++ methods inside Clang and LLVM. Is thre a way to get the candidate addresses where the return address points back after each function return was performed. I have a few questions and hopefully you guys can help me out. The

Hi all, I would like to do a barplot of a dataframe like this one: alfa beta gamma delta qwert 56.5 58.5 56.5 58.5 asdfg 73.0 73.0 43.0 73.0 zxcvb 63.0 63.0 43.0 63.0 yuiop 63.0 63.0 43.0 63.0 with the labels of the rows and columns. I would like to have something that works for dataframes with varying dimensions, and so far I haven't found any way to do it.

Hi, I'm working on an LLVM Pass plugin and I'm running into a problem when loading it into opt. I want to have a custom option for my pass and added an llvm::cl::opt #include'ing "llvm/Support/CommandLine.h" linking the dependant libs causes the following error when loading it with opt: opt: CommandLine Error: Option 'debug-pass' registered more than once! I

Hi Philip, thanks for the quick answer. That makes sense, but when leaving the set LLVM_LINK_COMPONENTS out I get an undefined symbol when loading the plugin: _ZTVN4llvm2cl3optINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEELb0ENS0_6parserIS7_EEEE which boils down to llvm::cl::opt<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char>>,

I am writing a function in which, at some point, I to recuperate the name of a previous object in quotes. I am currently using the function Cs() from the Hmisc library but the result is: foo <- function(xvar) { variable <- Cs(xvar) return(variable) } foo(x1) > "xvar" when I would expected to obtain "x1". Any suggestion? Thanks -- *Gonzalo Rivero* Ph.D.

Hi all, I´m trying to "recuperate" old files I wrotte and I´m trying to execute on R version 2.13.0 (2011-04-13), the thing is I execute my old file and nothing happens...I suposse I need to install some library but there no appears no message, no text telling "required grafics library" or something like that. How can I see wich libraries need to execute a file? Many thanks

Dear All, I would like to use the 'split' function on the dataframe elements contained in a list L. For example : > (df <- data.frame(cbind(c(rep('A',2), rep('B',2)), rep(1:4)))) X1 X2 1 A 1 2 A 2 3 B 3 4 B 4 > (L<-split(df, df$X1)) $A X1 X2 1 A 1 2 A 2 $B X1 X2 3 B 3 4 B 4 Now, I would like to split EACH data frame, ie, according to

Hi all, We are advertising a position for a research assistant / research associate at the University of Cambridge Computer Lab, working with LLVM targeting the Loki (http://www.cl.cam.ac.uk/~rdm34/loki/) architecture. For full details please see http://www.jobs.cam.ac.uk/job/9756/, though the 'meat' of the advert is pasted below. The Loki project has been my main focus for a number of

Dear R-helpers, I have time series data from 16 subjects and 2 treatment groups. The seasonal variation can be best described by two harmonics, I called the frequencies omega and omega2. I now want to test whether (1) the seasonal pattern differs between the treatments (some kind of overall test). If this is the case, (2) I want to conduct tests to find out whether the amplitude of the

I did a fourier transform on a function in time domain to get the following functions in frequency domain (in latex): $Y_1[\omega] = \frac{1}{1-\phi_1 e^{-jw}}$ $Y_2[\omega] = \frac{1}{1-(\phi_1 + \phi_2)e^{-jw} +\phi_1\phi_2e^{-2jw}}$ How do I find the spectrum of this function for given $\phi_1$ and $\phi_2$ coefficients and in the discretization interval $w = [-\pi:.1*\pi: \pi]$? Then, how

I am looking for a provider that will provide an equivalent of DID/DOD trunks via IAX, IAX2 or SIP using numbers in Metro Chicago (prefer Skokie), LA (prefer West Hollywood or Venice), and/or Orlando (prefer Winter Garden). If I can migrate some of my existing numbers using LNP, that would be even better, but it is not a requirement. While I know that there are several companies that will

Hi dear R community, I have up to 12 measures of a protein for each of 6 patients, taken every two or three days. The pattern of the protein looks periodic, but the height of the peaks is highly variable. It's something like this: patient <- data.frame( day = c(1, 3, 5, 8, 10, 12, 15, 17, 19, 22, 24, 26), protein = c(5, 3, 10, 7, 2, 8, 25, 12, 7, 20, 10, 5) ) plot(patient$day,

Hi dear R community, I have up to 12 measures of a protein for each of 6 patients, taken every two or three days. The pattern of the protein looks periodic, but the height of the peaks is highly variable. I'm testing for periodicity using a Monte Carlo simulation envelope approach applied to a cumulative periodogram. Now I want to predict the location of the peaks in time. Of course, the

help -----Original Message----- From: centos-request at centos.org Sent: Saturday, September 13, 2014 1:00 PM To: centos at centos.org Subject: CentOS Digest, Vol 116, Issue 13 Send CentOS mailing list submissions to centos at centos.org To subscribe or unsubscribe via the World Wide Web, visit http://lists.centos.org/mailman/listinfo/centos or, via email, send a message with subject or body

Hi, I'm wondering why the spectrum() phase of quadrature couple isn't purely +/-pi. But mostly, I'm looking for a recommended way to take a 2-D spectrum and convert it into a single complex array. Kindly consider: # 10 Hz sine wave 10 seconds long sampled at 50 Hz deltaT = 1/50 t = seq(0, 10, deltaT) w = 2 * pi * 10 x = ts( sin( w * t ), deltat = deltaT ) y = ts( sin(

Does anyone know of any tools to do multichannel(multivariate) singular spectrum analysis (M-SSA) in R? Seems like this would be a useful thing to have. -Hilbert [[alternative HTML version deleted]]

Hi everybody! I am searching for an R implementation of multi-scale SSA (singular spectrum analysis), which was introduced by Yiou etal (2000) (Data-adaptive wavelets and *multi*-*scale *singular-spectrum analysis<http://linkinghub.elsevier.com/retrieve/pii/S0167278900000452>) and further described in Ghil etal (2002). For SSA alone I found an package recently published on r-forge: