similar to: Plotting leapfrog in R

Hello, I have a system of quadratic equations (results of a Hamiltonian optimization) which I need to find the roots for. Is there a package and/or function which will find the roots for a quadratic system? Note that I am not opimizing, but rather solving the first order conditions which come from a Hamiltonian. I am basically looking for something in R that will do the same thing as fsolve in

Hello all, There is currently a (very !) lively discussions happening around the web, surrounding the following topics: 1) Is R efficient? (scripting wise, and performance wise) 2) Should R be written from scratch? 3) What should be the license of R (if it was made a new)? Very serious people have taken part in the debates so far. I hope to let you know of the places I came by, so you might be

Hi, everyone. I was able to get the Ajax.Request basically working, such that it returns "Damn! You are beyond #10...", but I had to change the "/proxy? url=" to "http://localhost/myApp/proxy.html?url=". Apparently, the response is just my proxy.html page. With "/proxy?url=" in place, WebSphere shows an error: SRVE0017W: A WebGroup/Virtual Host to handle

Dear R experts, I am trying to analyze data from an article, the data looks like this Patient Age Sex Aura preCSM preFreq preIntensity postFreq postIntensity postOutcome 1 47 F A 4 6 9 2 8 SD 2 40 F A/N 5 8 9 0 0 E 3 49 M N 5 8 9 2 6 SD 4 40 F A 5 3 10 0 0 E 5 42 F N 5 4 9 0 0 E 6 35 F N 5 8 9 12 7 NR 7 38 F A 5 NA 10 2 9 SD 8 44 M A 4 4 10 0 0 E 9 47 M A 4 5 8 2 7 SD 10 53 F A 5 3 10 0 0 E 11

I was wondering how do I actually see what's inside a function, say, density of t distribution, dt()? I know for some, I can type the function name inside R and the code will be displayed. But for dt(), I get > dt function (x, df, ncp, log = FALSE) { if (missing(ncp)) .Internal(dt(x, df, log)) else .Internal(dnt(x, df, ncp, log)) } <environment: namespace:stats> I

>*nod* That's been the historic ELF+DWARF approach, but both MacOS (with dsyms+DWARF) and Windows >(COFF+CodeView+PDB) don't do it that way, and instead involve the linker to a degree. >Mostly I'm wondering if it'd be reasonable to (and if anyone would be interested in doing it) do >something more like the PDB support - fully debug-aware linking. Honestly saying I only

http://bugzilla.mindrot.org/show_bug.cgi?id=130 Summary: segfault on connect / Red Hat 6.1 w/OpenSSL 0.9.6c Product: Portable OpenSSH Version: 3.0.2p1 Platform: ix86 OS/Version: Linux Status: NEW Severity: critical Priority: P2 Component: ssh AssignedTo: openssh-unix-dev at mindrot.org

> And where do we get this? Saw nothing on the speex website... http://www.openacm.org/ --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to 'speex-dev-request@xiph.org' containing only the word 'unsubscribe' in the body. No subject is needed. Unsubscribe messages sent to

What's the current best wisdom on how to construct confidence bounds on something like a normal probability plot? I recall having read a suggestion to Monte Carlo something like 201 simulated lines with the same number of points, then sort the order statistics, and plot the 6th and 196th of these. [I use 201 not 200 because quantile(1:201, c(0.025, 0.975)) = 6 and 196 while

Hi, First time using the optim(), can someone please tell me what I am doing wrong? The error looks like this Error in .Internal(pnorm(q, mean, sd, lower.tail, log.p)) : 'sd' is missing An example of the error dat = c(20, 19, 9, 8, 7, 4, 3, 2) dat_mu=mean(dat) dat_s=sd(dat) max.func = function(dat, mu, sd) { pnorm(dat, mu, sd) } optim(fn=max.func, dat=dat, par=c(mu=dat_mu,

>If you're interested in things you can do in the linker for this - you might consider something more aggressive: Fully DWARF aware deduplication. > >This could be done hopefully by reusing some of the code in the dsymutil implementation in LLVM. > >This would be much more effective (and without the possible context-sensitive tradeoffs) than using type units. >Though

On Aug 8, 2013, at 9:01 AM, David Tweed <David.Tweed at arm.com> wrote: > Just as general comments not related to the specific implementation in LLVM: > > I believe that 2-state Ising models can be reduced to max-flow/min-cut (eg, Finding ground states in random-field Ising ferromagnets by F Barahona) , so were a guaranteed polynomial time solution wanted that could be used

When complex assignments are performed, the R interpreter creates, then removes a special variable *tmp*. However, when byte compiling is enabled, it seems that a different mechanism for making compound assignments is used. Would it be possible to eliminate *tmp* from interpreted R code as well? It might be useful for a function to lock its own environment, and the appearance and disappearance of

Your distro's wine package will not, in general be the latest available Wine version but, if the distro maintainers aren't asleep at the switch, this should be upgraded every few weeks. I have two RedHat Fedora releases installed because I play distro leapfrog on my two Linux boxes. The last time I explicitly installed Wine on either box was when I did a clean Linux install of the

I''m in the process of setting up our puppet environment, and am creating dummy classes so that I can test/use our node classification script, however my dummy classes are throwing the following error. puppetmasterd[3908]: Could not parse for environment production: Syntax error at ''Stage_cis2'' at /etc/puppet/manifests/classes/ Stage_cis2.pp:2 As you see, the actual

Hello everyone I hope Im not bothering you all again. I have just begun to use R and so Im not yet familiarized with it.. I ve got an assignment which consists in calculating the area of a circle given a certain radius and center using the monte carlo method, which means that I have to plot a circle given its parameters. Limit the area inside it...with as many sample points as possible...and

> >slyzen wrote: >> I'm running wine 1.1.23 on a kubuntu jaunty and my iTunes 8.2 doesn't see my iPhone (with OS 3.0). Do you think your method will work in my case ? > >No, itunes doesn't see any devices on Wine. It wants to talk directly to a USB device with special drivers. > Isn't there an unsupported version of Wine that will do this until the code is

As far as I work out the version of the Dom0 linux kernel has to be 2.6.18. This is causing me a lot of problem, because the driver support in 2.6.18 is slowly falling behind, and I finding that more modern hardware isn''t supported by the 2.6.18 drivers. Is it possible to use a more recent version of the kernel for Dom0, or am I stuck with 2.6.18? Is there another way I can use more

Hi, I am building a regression tree (method=anova) by using rpart package and as a final result I get the final leaves characterized by different means and standard deviations for the dependent variable. However, differently from the classification tree for categorical variables I cannot find a way to assign each observation to a leaf, i.e. I can find no frame whcih contains the observation id

Hello The excellent adapt package integrates over multi-dimensional hypercubes. I want to integrate over a multidimensional simplex. Has anyone implemented such a thing in R? I can transform an n-simplex to a hyperrectangle but the Jacobian is a rapidly-varying (and very lopsided) function and this is making adapt() slow. [ A \dfn{simplex} is an n-dimensional analogue of a triangle or