similar to: Using accrualReport.s in Hmisc/Design

Hello, I would like to plot my data in a fashion similar to a boxplot, but plot the true data points without a box, just overlay lines of the summary generated by the boxplot. I have less than 10 observations within each group, so I think showing the actual data would be more effective than the box of the boxplot. I have been unable to find a way to do this. Here is example data: >

I am attempting to install the Hmisc, rreport and Design packages, but am not able to do so. I am running R v1.9.1 on Mac OS 10.3.5. I have tried installation using both the GUI version of R and also running R from sudo in a terminal session. In the terminal I receive the following error: * Installing *source* package 'Design' ... ** libs g77 -fno-common -g -O2 -c lrmfit.f -o

I was running solaris 10 6/06 with latest kernel patch on ultra 20 (x86) with two internal disks, the root with the OS (c1d0) as UFS and the userland data on c2d0s7 formatted as ZFS. An update made the system unusable and required reinstallation of the OS on c1d0 (solaris 6/06). I cannot figure out how to remount the second drive c2d0s7 which is formatted as ZFS. I have not created any ZFS

Hello, I hope there is a simple explanation for this. I have been using odfWeave with great satisfaction in R 2.5.0. Unfortunately, I cannot get beyond the following error message with a particular file. I have copied and pasted into new files and the same error pops up. It looks like the error is occurring before any of the R code is run (?). Any suggestions on how to track this down and fix

Hello, Apologies for the post here. I have read the R-Admin (learned a lot!) and searched the web for days, but still fail at compiling R on my Ultra 20 running solaris 10 x86 1/06. This is the tail of './configure' output: ..... checking for dlopen in -ldl... yes checking readline/history.h usability... no checking readline/history.h presence... no checking for readline/history.h... no

Hello, I apologize for the post as I am certainly overlooking a simple solution to my difficulties with getting a legend to print on a survplot from the rms package. I am plotting the following: survplot(survest(fita), n.risk=T, conf='none', cex.n.risk=.85, dots=T, col='gray10', lty=2) survplot(survest(fit), n.risk=F, conf='none', add=T) survplot(survest(fitb), n.risk=F,

Apologies if this is not the best list on which to ask for help. I have compiled R 2.6.0 using Sun Studio 12 compilers. I can install most CRAN and bioconductor packages that I need, with the exception of RSQLite. Unfortunately this is critical for other packages that I need. I have tried to compile it using R CMD INSTALL to generate a config.log file. I don't know how to fix the reported

New versions of source packages for Hmisc and Design are available from CRAN for R 1.9 on Linux/Unix. Knowing Uwe Ligges, a Windows binary is not far behind. Changelogs are at http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogHmisc and http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogDesign . These versions pass R CMD check for the latest R-devel so I expect they

New versions of source packages for Hmisc and Design are available from CRAN for R 1.9 on Linux/Unix. Knowing Uwe Ligges, a Windows binary is not far behind. Changelogs are at http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogHmisc and http://biostat.mc.vanderbilt.edu/twiki/bin/view/Main/ChangelogDesign . These versions pass R CMD check for the latest R-devel so I expect they

Dear All, I am fairly new to R. I work mainly in SAS. Now, I know that SAS is approved by the FDA for submissions. My question is, does the FDA approve {R} for clinical trial submissions. Also has anyone ever tried to produce TFL's using R. I would like to know how difficult it to produce the TFL's in R as compared to SAS. I know that in SAS it is not difficult once you know

Hello Colleagues, I programmed in SAS for 3 years and would like to switch to a not so costly software product. Hence I started to evaluate R, and my first test look promising. However I have some question: 1. Is it possible to query R files by SQL internally on data frames (not on a database) and how is the syntax (I have the RODBC package installed). I would like to extract year, Quarter,

I am using Sweave to generate a document in which ggplot2 figures are embedded. I am using the following code in a particular plot within a subfloat environment: <<qplotARbosreg, echo = FALSE, fig = TRUE>>= print(qplot(bosday2, Arday2, data= arbostimearonlyNArm, colour=factor(bos2), shape=factor(bos2), size=factor(cumARscore), position="jitter", main="Days to BOS by

An updated version of Hmisc is now available from CRAN. The Web site for Hmisc is http://biostat.mc.vanderbilt.edu/s/Hmisc. The change log may be found at http://biostat.mc.vanderbilt.edu/changelog/Hmisc.html. Changes made after 2004-11-24 should be ignored; these will be in the next version. The most major change in Hmisc is that thanks to discussions with a highly respected, persistent,

An updated version of Hmisc is now available from CRAN. The Web site for Hmisc is http://biostat.mc.vanderbilt.edu/s/Hmisc. The change log may be found at http://biostat.mc.vanderbilt.edu/changelog/Hmisc.html. Changes made after 2004-11-24 should be ignored; these will be in the next version. The most major change in Hmisc is that thanks to discussions with a highly respected, persistent,

Hello, I have been using the Hmisc package's deff() command for some research with clustered data. I noticed that the formula to calculate the design effect seems a bit different. The formula for the DE is: 1 + rho*(B - 1) In most resources I have seen the formula for B to simply be the average number of observations in a cluster: n/k if n is the total sample size and k is the number of

The Hmisc and Design libraries have had major improvements. New versions for Linux/Unix/Windows may be obtained from http://hesweb1.med.virginia.edu/biostat/s/library/r Thanks to Xiao Gang Fan for porting the libraries to Windows once again. Change logs may be obtained from http://hesweb1.med.virginia.edu/biostat/s/library/common Several bugs have been fixed in Design, and many bugs have been

On Fri, 14 Nov 1997, Jim Lindsey <jlindsey at luc.ac.be> sent an email to r-devel describing his first shot at porting Design and Hmisc to R. A few days later, his port snapshot of Design was uploaded to CRAN's src/contrib/devel area, and has since been available from there. A few weeks ago, Andreas Weingessel <A.Weingessel at ci.tuwien.ac.at> had a look into porting Hmisc to R

After Brian Ripley suggested I get the latest version of R-devel, my show() problem, for an object for which I desired no special print method, was fixed. I am glad to report that all examples passed R CMD check for both libraries using today's version of R-devel. Frank -- Frank E Harrell Jr Prof. of Biostatistics & Statistics Div. of Biostatistics & Epidem. Dept. of

New versions of the Hmisc and Design packages, including ones for Windows, may be found at http://hesweb1.med.virginia.edu/biostat/s/library/r Thanks as always to Xiao Gang Fan <xiao.gang.fan1 at libertysurf.fr> for providing the Windows ports. In Hmisc, new features for multiple imputation have been added to aregImpute and LaTeX and plot methods have been improved for summary.formula

Thanks, all, for your responses to my earlier email about installing the Hmisc and Design libraries created by Harrell FE Jr. This was the body of my email requesting help: "I have tried, unsuccessfully, to install the Hmisc and Design libraries (Harrell FE Jr) in R-aqua (Apple). These libraries are in source code only (i.e. not yet in ready-to-use binary format). Unfortunately, when I