similar to: logsitic prediction

Hi all, I am trying to create simulated data for exploring reclassfication measures in a logistic setting with two continuous predictors and I would like to set the average population probability of outcome rather than the logistic beta0. Is there a way to find a beta0 that will generate the desired average population probability of outcome given x,y and their odds ratios? #Here is an

Hi Is there some function R that multiplies each coefficient by the standard deviation of the corresponding variable and produces a ranking? Stephen -- No virus found in this outgoing message. Checked by AVG Anti-Virus. [[alternative HTML version deleted]]

Hi, I've lost my mind on it... I have to scatterplot two vectors, grouped by a third variable, with two different dimensions according to whether each cell line in the plot is sensitive or resistant to a given drug, and with a different color for each of 9 tissues of origin. Here's what I've done:

Hi everybody, this is a real dummy thing. I sorted a matrix based on a given column, and what I get is right, until it comes to columns of negative and positive values; than, "order" orders everything from max to min in the negative values, and then AGAIN from max to min in the positive values!!! Why isn't everything order from max to min, and that's it? Thank you!!! Attached

Dear friends - We have 25 rats, 14 of these subjected to partial removal of kidney tissue, 11 to sham operation, and then followed for 6 weeks. So far we have data on 26 urine metabolites measured by NMR 7 times during the observation. I have smoothed the measurements by b.splines in fda including a roughness penalty, and inspecting the mean curves for nephrectomized and sham animals indicate

I have to study censured datas concernig the occurence of infection at the point of insertion of catheter in patients with renal disease. Catheter may be removed for ather reasons than infection, in this case, the observation is censored. Each has exactly 2 observations. The question are the pronostic factors of infection (the other variables are; age, sex, type of renal disease...). Could you

Hello, I'm trying to use adabag to make bagging and boosting with bagging() and adabost.M1(), respectively, but in both cases it produces an abnormal termination of R. My code is: bagging(I.NOSOCO~EDAD+SEXO+ESTANCIA+ADMISI?N+T.CIRUG?+DURACI?N+CONTAMIN +PROFILAX+E.PREOPE+V.PERIFE+V.CENTRA+S.VESICA+S.NASOGA+DREN.ABI+DREN.CER

I think, there is a neat exploit in the phpbb2.0.8 because I found my home page defaced one dark morning. The patch for phpBB is here. http://www.phpbb.com/downloads.php The excerpt of the log is attached. I believe the link to the described exploit is here. http://secunia.com/advisories/13239 The defacement braggen page is here filter to show the exploited FreeBSD machines that aneurysm.inc

We are trying to read a sas export file into R. (Works fine on Mac by ftping the export file from solaris box and then importing to R with read.xport, this gives rational numbers etc.) Trying to do this on an IBM Power p655 running linux, reading the same sas export file as used on MAC, in this case the results are not rational. Many of the numbers are interpreted as INF etc. Is it possible

I've drug it as far under the table as I can get it on a 30% heart. Yeah, I'm getting on, I'll be 85 in about 2 weeks. Heart surgury will be scheduled in the next few days to replace a worn out, leaky aortic valve. Piece if cake if my veins are big enough. So what driver do I use with a Smart-UPS_1500??? Never mind it was found and accessed by the bootup! upsc my usp reports:

On Sep 14, 2019, at 3:30 PM, Gene Heskett wrote: > > I've drug it as far under the table as I can get it on a 30% heart. > Yeah, I'm getting on, I'll be 85 in about 2 weeks. Heart surgury will be > scheduled in the next few days to replace a worn out, leaky aortic > valve. Piece if cake if my veins are big enough. > Hope the procedure goes well! > gene at

I apologize for bugging you all again, but I've been trying to wrap my head around the encoding process and I'm about to have an aneurysm :P I've gone through oggenc.c, encode.c, and audio.c and I think I have a basic idea of what happens. I got it down in pseudocode as follows: --- 1 get parameters 2 init vorbis_comment -- vorbis_comment_init() 3 init vorbis_info --

I tried to post this a few times last week and it seems to have got stuck somehow so I'm trying from a different email in the hope that works. If somehow this has appeared on the list 20 tiems and I never saw any of them I apologize ;-) I'm basically an R-newbie. But I am VERY computer literate. But this has me stumped... All the examples for using the rmeta package to create a

Genome Institute of Singapore (GIS) Biostatistics Group The Genome Institute of Singapore ( http://www.gis.a-star.edu.sg <http://www.gis.a-star.edu.sg> ) is looking for statisticians who are interested in a wide range of biomedical probems. We are especially interested in hearing from senior researchers interested in leading their own group. The institute is well-funded and engaged

If there are any other users who use AHRQ's SAS code comoanaly2010 and comformat2010 to create comorbidity variables, I thought you might be interested in the following PRELIM code we wrote to mimic its functionality in R. It seems to yield similar results, but may contain errors. Please feel free to comment (kindly) or enhance. I'm sure there are better ways to skin this cat, but we at

Dear R users I use Windows XP, R2.5.1 (I have read the posting guide, I have contacted the package maintainer first, it is not homework). In a research project on renal cell carcinoma we want to compute Harrell's c index, with optimism correction, for a multivariate Cox regression and also for some univariate Cox models. For some of these univariate models I have encountered an error

Thank you Frank and all for your advices. Here I attach the raw data from the Pawinski's paper. I have obtained permission from the corresponding Author to post it here for everyone. The only condition of use is that the Authors retain ownership of the data, and any publication resulting from these data must be managed by them. The dataset is composed as follows: patient number / MMF dose in

Some time ago I was allowed to discuss "Diamond Graphs", and whether they would be useful in R, in this mailing list. The August 2003 issue of The American Statistician has finally arrived here and I have been able to read the article. A number of points of interest arise. 1. The article is "A Diamond-Shaped Equiponderant Graphical Display of the Effects of Two

Hi, I've this dataframe: V1 V5 V6 1 MOD13Q1_2000049 0.1723 A1 2 MOD13Q1_2000049 0.1824 B1 3 MOD13Q1_2000049 0.1824 C1 4 MOD13Q1_2000049 0.1774 A2 5 MOD13Q1_2000049 0.1953 B2 6 MOD13Q1_2000049 0.1824 C2 7 MOD13Q1_2000065 0.1921 A1 8 MOD13Q1_2000065 0.1938 B1 9 MOD13Q1_2000065 0.2009 C1 10 MOD13Q1_2000065 0.2035 A2 11 MOD13Q1_2000065 0.2157 B2 12

I have fitted the faults.data to glm.nb and to the function negbin from the package aod. The output of both is the following: summary(glm.nb(n~ll, data=faults)) Call: glm.nb(formula = n ~ ll, data = faults, init.theta = 8.667407437, link = log) Deviance Residuals: Min 1Q Median 3Q Max -2.0470 -0.7815 -0.1723 0.4275 2.0896 Coefficients: