similar to: futures, investment

Is there some decision tree method available with R, like ripper, that ends up producing a list of the rules and can be used for prediction? Stephen Choularton 02 9999 2226 0413 545 182 -- 5:40 PM [[alternative HTML version deleted]]

Hi I am just starting to look at R and trading in futures, stock, etc Can anyone point me to useful background material?

Hi I am trying to use tree() to classify movements in a futures contract. My data is like this: diff dip dim adx 1 0 100.00000 8650.0000 100.00000 2 0 93.18540 2044.5455 93.18540 3 0 90.30995 1549.1169 90.30995 4 1 85.22030 927.0419 85.22030 5 1 85.36084

Hi I hope this isn't off topics, but I have always found when I stepAIC() some glm I get an improvement in accuracy and kappa, but I have just done a case where I got a marginal deterioration. Is this possible, or should I be going through my figures carefully to see if I have messed up? Stephen Choularton 02 9999 2226 0413 545 182 -------------- next part --------------

Hi there, Does anyone know how to predict ARMA? It doesn?t have either predict or forecast methods. I found couple of packages called fbasic and fseries at http://www.itp.phys.ethz.ch/econophysics/R/, which has ?arma.predict? in it, but it doesn?t seem to be working. Any help in this regard would be appreciated. Thanks in advance. Regards Skanda Kallur "Prediction is very difficult,

Hallo, my noisy time series represent a fading signal comprising of long enough parts with a simple trend inside of each such a part. Transition from one part into another is always a non-smooth and very sharp/acute. In other words I have a piecewise polynomial noisy curve asymptotically converging to the biased constant, points between pieces are non-differentiable. I am looking for

Hi I am trying to do a large glm and running into this message. Error: cannot allocate vector of size 3725426 Kb In addition: Warning message: Reached total allocation of 494Mb: see help(memory.size) Am I simply out of memory (I only have .5 gig)? Is there something I can do? Stephen [[alternative HTML version deleted]]

I want to make a glm and then use predict. I have a fairly small sample (4000 cases) and I want to train on 90% and test on 10% but I want to do it in slices so I test on every 10th case and train on the others. Is there some simple way to get these elements? Stephen -- 21/10/2005 [[alternative HTML version deleted]]

*//* *//* */Cloud Futures: Hot Topics in Research and Education/* Berkeley, CA | May 7-8, 2012 http://research.microsoft.com/cloudfutures2012/ The Cloud Futures Workshop series brings together thought leaders from academia, industry, and government to discuss the role of cloud computing across a variety of research and educational areas---including computer science, engineering, Earth

*//* *//* */Cloud Futures: Hot Topics in Research and Education/* Berkeley, CA | May 7-8, 2012 http://research.microsoft.com/cloudfutures2012/ The Cloud Futures Workshop series brings together thought leaders from academia, industry, and government to discuss the role of cloud computing across a variety of research and educational areas---including computer science, engineering, Earth

I have taken your samba-3.0.0beta2-1.src.rpm, added a little sparc thingy tp the spec file, and made a "new" src.rpm, and a sparc binary rpm. NTW, Aurora SPARC Linux is based on Red Hat Linux, currently ansel release on 7.3 and a work-in-progress on 9, see auroralinux.org. If you want them, how do I upload them? Cheers, /ChJ

Hi I am using boosting for a classification and prediction problem. For some reason it is giving me an outcome that doesn't fall between 0 and 1 for the predictions. I have tried type="response" but it made no difference. Can anyone see what I am doing wrong? Screen output shown below: > boost.model <- gbm(as.factor(train$simNuance) ~ ., # formula +

Hi Say I have some data, two columns in a table being a binary outcome plus a predictor and I want to plot a graph that shows the percentage positives of the binary outcome within bands of the predictor, e.g. Outcome predictor 0 1 1 2 1 2 0 3 0 3 0

Dear all:Request your indulgence. The econophysics gurus do this stuff all the time: all their PDFs are smooth, with neat log x axis. 1. The kernel density estimate (KDE) function returns the empirical probability density at 2^n points (min: 512). The big question is how do I scale back the x-values (say, density$x) to x-values in terms of the original dataset? 2. To give you a concrete idea, i

Hi I am trying to do this: chisq.test(c(11, 13, 12, 18, 21, 43, 15, 12, 9, 10, 5, 28, 22, 11, 15, 11, 18, 28, 16, 8, 15, 19, 44, 18, 11, 23, 15, 23, 2, 5, 4, 14, 3, 22, 9, 0, 6, 19, 15, 32, 3, 16, 14, 10, 24, 16, 24, 31, 29, 28, 16, 26, 11, 11, 4, 17, 16, 13, 20, 26, 16, 19, 34, 19, 17, 14, 22, 25, 17, 12, 23, 14, 19, 30, 18, 10, 23, 21, 17, 16, 10, 14, 6, 17, 17, 10, 21, 25, 20, 4, 11, 4,

Hi all. I have currently a server: cat /etc/redhat-release CentOS release 5.7 (Final) uname -a Linux host.domain.com 2.6.18-274.18.1.el5 #1 SMP Thu Feb 9 12:45:44 EST 2012 x86_64 x86_64 x86_64 GNU/Linux I have there a filesystem mounted: /dev/vg0/paczki /home/paczki-workdir ext4 defaults,noatime 0 0 on which df gives strange output: LANG=C df -h

On 12/10/2019 12:06 AM, Tobias Hieta wrote: > Hello, > > I finally figured out that I still need Python 2.7 in order to get > tests running correctly on macOS. But this lead to a bunch of test > fails when using the script: > > FAIL: LLVM :: Bindings/Go/go.test (23671 of 61786) I've seen this go failure before on macOS, so it is somewhat expected. Do the rest of these

Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote: mkdir fBasics unzip fBasics.zip -d fBasics rm fBasics/src/*.o R CMD check fBasics and that took me about 3 minutes. Now me, I just did unzip -a fBasics_190.10051.zip R CMD INSTALL fBasics rm -rf fBasics in a naive and trusting manner. It took me considerably longer than 3 minutes to learn that this was what I should do, and

Hi I am doing something like this: hist(maximumPitch, xlab="Maximum Pitch in Hertz") which produces a nice histogram but what do I do to get two or three, etc on one page? I want to save the resulting file to an eps. I can find: postscript("ex.eps") which I then run something like my hist above and then dev.off() but I don't get anything in my

Hi Everyone Thanks to those who responded last time. I am still having problems. I really want to find one of those tutorials on how to use svm() so I can then get going using it myself. Issues are which kernel to choose, how to tune the parameters. If anyone know of a tutorial please let me know. Stephen [[alternative HTML version deleted]]