search for: pulmonari

Dear listers I am a very newbie with graphs in R. I have a pulmonary function prediction equation in the form of PVC = 1.1 - 0.45*age in years + 0.011*height in cm. How can I draw the corresponding nomogram?. I read the help for the design.nomogram function but it is too difficult for me. Excuse my ignorance. Any direct help will be appreciated. Thanks in advance.

Hello, I am relatively new to R and am using it to run Classification and Regression Tree analysis. My only issue at this point is that numbers are always cut off on the lower nodes. I've tried changing the margins with mai=c(0, 0.5, 0.5, 0) but this has not so far worked. Any suggestions would be appreciated. Best, John Z. Metcalfe, M.D., M.P.H. Division of Pulmonary and Critical

Dear useRs, I am trying to fit a Cox PH model on survival data from a lung cancer dataset. I would like to include the patient staging (I-IV) as a covariate. For this I use the following function: coxph(Surv(time,status) ~ stage) The staging information is a categorical variable, and it is important to take the ordering into account (I<II<III<IV). Does the coxph function handle

I am looking for a way to produce a "distribution graph" as in the example: (http://cecsweb.dartmouth.edu/release1.1/datatools/dgraph.php?year=2003&geotype=STD_HRR&event=A01_DIS&eventtype=UTIL Anybody who can help? Christian von Plessen Department of Pulmonary Medicine Haukeland university hospital Bergen Norway

Hello, I am trying to compile sources of R-1.5.0 on a Mandrake 8.1 linux box. For Fortran compiler needs, I downloaded and installed a g77 rpm. But the configure step fails with following output. I would like to know if any of you had similar problem and how you solved. Thanks in advance. Mohan ------------------- configure output ------ checking for g77... g77 checking whether we are using the

Hello, I am currently trying to find an easy way to take a table with a mix of numbers and characters and format the numbers in the table to be constrained to 4 significant digits. Example: #this is my table creation > table <- matrix(c(12.34567, "--", 10, 12.34567, "--", "NA", "--", 123.45678, "--"), ncol = 3, byrow=TRUE) > > table

Dear R-users, I am trying to make Snow and Rmpi working on an heterogenous cluster of linux computers. The master computer is built on a 64 bit architecture whereas all nodes are built on a 32 bit architecture. LAM/MPI was installed successfully on all machine. LAM boots correctly on the master computer and it recognizes all nodes defined in the lamhosts file. However, when starting R,

Dear Madam or Sir, I need to do multiple comparisons following nlme analysis (Compare the effects of different treatments on a response measured repeatedly over time; fixed = response ~ treat*time). On the web I found the notion that one might use the L argument from ANOVA. Do you have an example to show how this works together with nlme? Are there other ways to do a post-hoc analysis in

Dear R-user, I am trying to use the function 'parLapply' from the 'snow' package which is supposed to work the same wys as 'lapply' but for a parallelized cluster of computers. The function I am trying to call in parallel is 'dudi.pca' (from the 'ade4' package) which performs principal component analyses. When I call this function on a list of

On Thu, 2 Jan 2020, Harlan Stenn wrote: > On 1/2/2020 3:12 AM, Roger Price wrote: >> On Wed, 1 Jan 2020, Gene Heskett wrote: >>> But I should preface this with the fact that I have a 20kw nat gas >>> fired standby with a sub 10 second startup time in the back yard. >>> > My understanding is: > > If there is a power outage, there comes a point where