similar to: rcs fits in design package

Hi, I am using the rcs() function in the Design library to model non-linearity that is not well characterized by an otherwise mechanistic function. I am able to make the model 'available' to others through the excellent nomogram() function and the set of tables that it can create. However, I would like to present the model in an 'expanded' format-- probably what rcspline.restate()

Hi, I'm trying to get the 'xts' library from CRAN packaged for Fedora 12, and one of its dependencies is 'Hmisc'. I have created a spec file for that using R2spec, but building it fails with something in building the manual pages: Warning: ./man/escapeRegex.Rd:22: unknown macro '\backslash' [similar warnings snipped] Warning: newline within quoted string at

Dear all, Is the restricted cubic spline function working properly in the glm model? We used glm(y~rcs(x,5), family=binomial) but it seems that for some theoretical reasons the rcs, restricted cubic spline function can not be fitted by a glm function. Is this correct? Regards, Jan ((Originally, we used lrm(y~ rcs(x,5)) but we couldn't find how to derive the AIC value of the fitted model.

Dear all, As I am new to the R community - although eager to advance- I would like to pose a question to the community. I have an SPSS file which I have imported it in R (with the read.spss command) which conists of scale (continuous) variable "adiponectin" and the corresponding categorical value "death" (0=No, 1=Yes). In all there are 60 observations (among which

Dear Dr ; I am a PhD student at Epidemiology department of National University of Singapore. I used R command (rcspline.plot) for plotting restricted cubic spline ??? the model is based on Cox. I managed to get a plot without adjustment for other covariates, but I have a problem regarding to adjusting the confounders. I applied below command to generate the matrix for

http://r.789695.n4.nabble.com/file/n3058505/file.csv file.csv Hi, Rusers I have a problem in making a rcspline.plot with a Hmisc package. My data is in the upload attachment. My programme as follows: library(Hmisc) A<-read.csv("file.csv",header=TRUE) attach(A)

I would like to impute missing data in a set of correlated variables (columns of a matrix). It looks like transcan() from Hmisc is roughly what I want. It says, "transcan automatically transforms continuous and categorical variables to have maximum correlation with the best linear combination of the other variables." And, "By default, transcan imputes NAs with "best

Dear list, I'm currently analyzing some count data using a hurdle model. I've used the rcspline.eval function in the Hmisc-library to contruct the spline terms for the regression model, and what I want in the end is the ability to compute coefficients and confidence intervals for different changes in the smooth function as well as plotting the smooth function along with the

I have an attached data.frame with a binary composite variable (comp) and a predictor (egfr). I am trying to plot a restricted cubic spline using: require (Hmisc) require (Design) rcspline.plot(x=egfr,y=comp,model="logistic",nk=5,knots=NULL, xlab="label1", ylab="Label2", plim=c(0,1), plotcl=TRUE, showknots=TRUE,

Hi folks, Using R Version 1.6.2 (2003-01-10) on SuSE Linux 7.2, I just installed Hmisc_1.5-3.tar.gz and Design_1.1-5.tar.gz These were taken from http://hesweb1.med.virginia.edu/biostat/s/library/r Checked the dependencies: Hmisc: grid, lattice, mva, acepack -- all already installed Design: Hmisc, survival -- survival already installed, so installed Hmisc first All seems to go

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

I have been attempting to use cph models to get better calibration of my models for which I had originally used logistic regression. I tried running with 40 repetitions and got an error. I then tried 500 repetitions (thinking that the NaNs in the output below might be caused by that choice) and then let my computer crunch for several hours and got only the same error message and

Please forgive me if you already received this. I had an e-mail sending glitch this morning. http://cran.r-project.org/src/contrib/checkSummary.html reported an error in Design.trans.Rd * checking Rd files ... ERROR Rd files with syntax errors: /var/mnt/hda3/R.check/r-devel/PKGS/Design/man/Design.trans.Rd: unterminated section 'alias' The .Rd file is attached. It begins

On 9/26/07, Josh Coalson <xflac@yahoo.com> wrote: > --- Martin Leese <martin.leese@stanfordalumni.org> wrote: ... > > Where can I find more detail on what is a > > "non-audio" RIFF chunk? > > it is any riff chunk that is not "fmt " or "data" > > > Ambisonic ".amb" files are WAVE-EX files with > > a

Not sure if this belongs here or in flac-dev. I am subscribed to both, so flop it over if fits better over there. Looking at the Changelog for FLAC 1.2.1 (17-Sep-2007), it says: "With the new --keep-foreign-metadata in flac, non-audio RIFF and AIFF chunks can be stored in FLAC files and recreated when decoding." Where can I find more detail on what is a

Apologies if this is this too obscure for R-help. In package splines, ns(x,,knots,intercept=TRUE) produces an n by K+2 matrix N, the values of K+2 basis functions for the natural splines with K (internal) knots, evaluated at x. It does this by first generating an n by K+4 matrix B of unconstrained splines, then postmultiplying B by H, a K+4 by K+2 representation of the nullspace of C (2 by K+4),

This is to announce that XMCD 2.1 patchlevel 0 has been released which fixes all of the issues previously raised by David Meltzer. It also contains a number of other minor feature and functionality enhancements. The new version may be obtained via the xmcd web page at: http://sunsite.unc.edu/~cddb/xmcd/ Users of xmcd with older versions are encouraged to upgrade. -Ti -- \\ // XMCD - Motif CD

A significant update to the Hmisc package is now available on CRAN for all platforms. Hmisc source is now on github at https://github.com/harrelfe/Hmisc and the full change log may be found at https://github.com/harrelfe/Hmisc/commits/master The most important updates are additions of new graphics functions for summarizing and displaying data with an aim of replacing tables. There is also

R-users it appears I am leaning on your knowledge once again.  Is there any way to add a vertical line to a histogram and qplot "stacked" plot?  Here is my current attempt:   "qplot" approach attempt: qplot(Run, data = data_dataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq")

Hi UNIX and Linux users, Xmcd, the premier CD player program, now also supports CD ripping to Ogg Vorbis, MP3 and other formats. For Ogg Vorbis, xmcd links directly with the vorbis libraries for best performance and integration. For further info and downloads, please visit the xmcd web site: http://www.amb.org/xmcd Vorbis webmasters: Please add xmcd to your list of free software that