similar to: simple lm question

Hi, I encountered a weird problem when using the Design and Hmisc problem. I have 2 data frame called "a" and "b", both have 3 columns: "time", "status" and "scores", a sample of the data frame is like: data frame "a": time status scores 1 21 1 99.61 2 38 0 101.11 3 51 0 100.62 4 48 0 87.52 5 78 0

Hello, I just signed up to this mailing-list (note: my first mailing list at all), because I'm having some problems related to speex. Let me just introduce you to what I'm doing. I am writing a short (really short) paper about VoIP techniques, especially audio codecs for speech. I pointed out basic technologies behind audio codecs; vector quantization, lpc, long-term prediction and some

sorry, I had a typo there, it's datadist(b) for the analysis of data frame "b". --- Robert Balshaw <Robert.Balshaw at syreon.com> wrote: > Not sure if this will help, but did you mean to use > datadist(a) for > the analysis of B? > > Rob > > > -----Original Message----- > > From: r-help-bounces at stat.math.ethz.ch > >

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =

OK. Different mailing lists are set up differently. This list is unusual because your answers only go to the person who replied to you. So if you want the other people on the listserv to see your answer, you should make sure that Speex-dev at xiph.org<mailto:Speex-dev at xiph.org> is added to the TO: field of your outgoing message. Hopefully someone else will also attempt to answer your

I've continued to work on speeding up R, and now have a collection of fourteen patches, some of which speed up particular functions, and some of which reduce general interpretive overhead. The total speed improvement from these patches is substantial. It varies a lot from one R program to the next, of course, and probably from one machine to the next, but speedups of 25% can be expected in

Hello, I have attached a model file which can be used to rank new queries. Disclaimer: I don't remember if its is the updated one or the one with which I evaluated the API before. But it should work with your new queries with libsvm based letor module. Parth. -------------- next part -------------- An HTML attachment was scrubbed... URL: