similar to: Richard Stallman responds.

The license for the Vorbis audio codec was recently changed from GPL to LGPL because it's author (xiphmont@xiph.org) felt that being GPLed would hamper it's development. An argument ensued on the vorbis list about the intentions and consiquences of the GPL. Since words are being 'put in your mouth' I thought you might like the opportunity to comment. ---------- Forwarded message

I did manage to dv-tape this from the front row, and thus got pretty fair audio, but a slightly awkward camera angle. NYU Media Lab had a tripod set up at the back, and were apparently intending to webcast the results via real. They were a little taken aback when I mentioned Richard's aversion to propietary formats, and thanked me profusely for pointing it out, and saving them grief.

>>>>> "j" == joly <WWWhatsup> writes: j> One appeal that Stallman did make, which strikes me as j> reasonable, is that in normal use when referring to the OS j> rather than just the kernel - one use the designation GNU/Linux j> .. to give full credit to the GPL community. "Still less j> syllables than Windows2000."

> > Meanwhile I've encoded the audio in the kosher ogg-vorbis format, > but i couldn't encode at less than 128k, so the files are > huge - 110MB+ - but for those that have the pipe they are there > plus some stills. http://punkcast.com/64/ Use sox to take them to mono and 22kHz, then specify -b1 for the bitrate, and they will encode well below 128. These features will

um, where is sox? is there any lind of user guide, list of switches/methods for oggenc for CLI-challenged? I gave it a try last night and it refused my source - was that cos it's mono? (44khz 16bit wav) anyway I fedexed the wavs up to gnu.org on a couple of cd's with their vhs.. they are on the case now. I have re-recorded the audio as stereo for CD and am going to give oggenc another

Hi I am trying to install "rms" package but while installing it shows following error package 'survival' 2.36-2 is loaded, but >= 2.36.3 is required by 'rms' what to do? i am using linux OS I have tried by updated r-base-core but it didnt work regards GRR [[alternative HTML version deleted]]

I am cleaning up the rms package to not export functions not to be called directly by users. rms uses generic functions defined in other packages. For example there is a latex method in the Hmisc package, and rms has a latex method for objects of class "anova.rms" so there are anova.rms and latex.anova.rms functions in rms. I use:

I have updated the rms package to extensively use NAMESPACE. I cannot get certain S3 methods to dispatch. For example I have in NAMESPACE S3method(anova, rms) S3method(latex, anova.rms) anova.rms produces an object of class "anova.rms" and there is a latex.anova.rms function in rms. But when I do latex(anova(fit)) I get an invocation of latex.default. I have tried using

Hi, I'm using the rms package to do regression analysis using the lrm function. Retrieving odds ratios is possible using summary.rms. However, I could not find any information on how exactly the odds ratios for continuous variables are calculated. It doesn't appear to be the odds ratio at 1 unit increase, because the output of summary.rms did not match the coefficient's value. E.g.

Full_Name: Marek Ancukiewicz Version: 2.01 OS: Linux Submission from: (NULL) (132.183.12.87) It seems that the the standard error of prediction of the linear regression, caclulated with predict.lm is incorrect. Consider the following example where the standard error is first calculated with predict.lm, then using delta method. and finally, using the formula rms*sqrt(1+1/n+(xp-x0)^2/Sxx). Marek

I want to predict values from an existing lm (linear model, e.g. lm.obj) result in R using a new set of predictor variables (e.g. newdata). However, it seems that because my linear models was made by calling scale() on the target predictor that predict exits with an error, "Error in scale(xxA, center = 9.7846094491829, scale = 0.959413568556403) : object 'xxA' not found". By

Hi all! I am trying to develop a plot a figure in which I would like to show the odds ratios obtained from a logistic model. I have tried with the dotplot option but no success. Could you help me? Is there any option when modelling the logistic model in R? Thank you in advance

Hi, I'm trying to use sapply to compute the min of several variables, each of them stored in data.frames, grouped as a list: Is it normal that mean() and min() produce different objects dimensions? > str(dats) List of 5 $ log20:'data.frame': 83 obs. of 5 variables: ..$ DATE : int [1:83] 2001081500 2001081512 2001081600 2001081612 2001081700 2001081712

How can I extract the adjusted R^2 value from an ols object (using rms package)? library(rms) x <- rnorm(10) y <- x + rnorm(10) ols1 <- ols(y ~ x) Typing "ols1" displays adjusted R^2 among other things, but how can I assign it to a variable? I tried str(ols1) but couldn't see where to go from there. Thanks, Mark Seeto

The integration of plot methods for various outputs from rms packages is a great appreciated aspect of the rms package. I particularly like to use: plot(summary(model)) for my own purposes, but... for publication/presentation I need to modify details like variable names, or the number of signficant digits used in the figure annotations. Is there a simple way to modify the plot inputs

Dear R-users, I am using R 2.13.0 and rms 3.3-0 , but can not reproduce figure 7.8 of the handouts *Regression Modeling Strategies* ( http://biostat.mc.vanderbilt.edu/wiki/pub/Main/RmS/course2.pdf) by the following code. Could any one help me figure out how to solve this? setwd('C:/Rharrell') require(rms) load('data/counties.sav') older <- counties$age6574 + counties$age75

Dear R users, My apologies for the simple question, as I'm starting to learn the concepts behind the Cox PH model. I was just experimenting with the survival and rms packages for this. I'm simply trying to obtain the expected survival time (as opposed to the probability of survival at a given time t). I can't seem to find an option from the "type" argument in the predict

Dear R-help, I don't understand why Gls gives me an error when trying to fit a model with AR(2) errors, while gls (from nlme) does not. For example: library(nlme) library(rms) set.seed(1) d <- data.frame(x = rnorm(50), y = rnorm(50)) gls(y ~ x, data=d, correlation = corARMA(p=2)) #This works Gls(y ~ x, data=d, correlation = corARMA(p=2)) # Gives error # Error in

Hi, in Design package, a plot of survival probability vs. a covariate can be generated by survplot() on a cph object using the folliowing code: n <- 1000 set.seed(731) age <- 50 + 12*rnorm(n) label(age) <- "Age" sex <- factor(sample(c('male','female'), n, TRUE)) cens <- 15*runif(n) h <- .02*exp(.04*(age-50)+.8*(sex=='Female')) dt <-

Apologies if this has been posted about recently, but I haven't been on this listserve for a while. I ran into a problem trying to compile Hmisc (required package for rms) and have found a solution that I'd like to share. The compile fails with the message: /usr/bin/ld: cannot find -lquadmath libquadmath exists on my Debian Squeeze system (up-to-date, recently installed): ldconfig -p