similar to: tapply syntax

Hello, I would appreciate *any* ideas on this problem. I'm the maintainer of a package ("subselect"), which on CRAN's Daily Package Checks is OK on all flavours of R, except r-devel Linux x86_64, where there is a "memory not mapped" segfault with the very first example that is tried out (output below). Additionally, a user with an AMD64 machine has just reported a

Hi, I downloaded the subselect package from CRAN and installed it in the system wide R library path. During installation the package compiled the fortran sources with no errors. However, when loading the library gives me an error: > library(subselect) Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library

Trying to install subselect v0.8 on Redhat 7.3 and R 1.8.1 fails (below). Any help is greatly appreciated. Xiao-Jun * Installing *source* package 'subselect' ... ** libs f2c < anneal.f > anneal.c anneal: Error on line 263: Declaration error for fica: adjustable dimension on non-argument Error on line 263: Declaration error for valp: adjustable dimension on non-argument Error

Dear R-help members, Apologies - I am posting on behalf of a colleague, who is a little puzzled as STATA and R seem to be yielding different survival estimates for the same dataset when treating a variable as ordinal. Ordered() is used to represent an ordinal variable) I understand that R's coxph (by default) uses the Efron approximation, whereas STATA uses (by default) the Breslow. but we

======================================================================= Simple CRAN packages which do not compile without modifications (all others do) ======================================================================= -- akima /usr/bin/ld: multiple definitions of symbol _idlc_ -- fracdiff /usr/bin/ld: multiple definitions of symbol _gammfd_ (and others) -- odesolve --

Dear all, I have a data set as follows: ID cycle.number cycle.result 1 2525 1 38 2 2525 2 38 3 2525 3 25 4 2525 4 25 5 2525 5 25 6 2525

hi all is there a package that undertakes subset selection but BASED ON AIC or any other information criteria. i've seen the "subselect" and the "leaps" package but i have not played around with them yet. thanx

Dear R-help list, Apologies. I am trying to convert one table to another. It feels that it should be a very straightforward answer with a single (or two) commands with the right extensions, but I really can't figure this out right now. I have several hundred pheno factors actually, so manually doing this line by line is not an option. My original table is approximately like this : ID

*Hi all, I know this is probably basic, but I have proven to be a slow learner in any programming language. Anyhow, how can I calculate the SD for each person in my table? I have two patients in this R data.frame, 7200 and 23955. I extracted this from a relational database, but am I better off attempting to compute SD in SQL, or is this easily accomplished in R? * SUBJECT_ID HR 1

Hi all, May i know does R has packages or code to run "Bayesian Relative Survival Analysis"? I have look through Bayesian Survival Analysis(2001) by Joseph George Ibrahim<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Joseph+George+Ibrahim%22>, Ming-Hui Chen<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Ming-Hui+Chen%22>, Debajyoti

Hi All, I have a file with two columns, the first column has the names of the patients and the second column has the age. I am looking into creating an output file that looks like 1-10 10-20 etc Eric Chris Bob mat Andrew Suzan Where each column has the name of the patients in a given age category that is displayed in the header. For example in the output, the first

hello I confused one point in matrix constructed with cbind I want to subselect 6. column > 1000 what should the syntax be ? regards -- Ahmet Temiz Jeoloji M?h. Afet ??leri Genel M?d?rl??? Deprem Ara?t?rma Dairesi Tel: (312) 287 89 51 veya (312) 287 26 80/1547 Faks: (312) 287 89 51 E. Posta: temiz at deprem.gov.tr www.deprem.gov.tr Ahmet Temiz Geological Eng. General Directorate of

R-packages leaps and subselect implement various methods of selecting best or good subsets of predictor variables for linear regression models, but they do not seem to be applicable to logistic regression models. Does anyone know of software for finding good subsets of predictor variables for linear regression models? Thanks. -Ben p.s., The leaps package references "Subset Selection

list subselect by name ? ------------------------- I have this 'list of two elements of named elements.' > list(letters=letters, LETTERS=LETTERS)[c("letters","LETTERS")] $letters [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m"

Hi: I have asked this question on Cross-Validated. So it might be a cross posting but havent received any responses to it. I am trying to see which distribution will best fit the data I am working on. The dataset is as following: Site Nausea headache Abdominal Distension 1 17 5 10 2 12

This code worked fine for me, then did some cleaning up of formatting using ESS (Emacs) and now I get this error, no idea what is causing it, all the brackets/parentheses seem to be balanced. What have I done wrong? Thanks Jim p0.trial01 <- 0.25 TruOR01 <- 0.80 num.patients.01 <- 50 num.trials.01 <- 5 LOR01.het.in <- 0.00 num.sims <- 1 simLOR01 <-

Hi, I am new to R, coming from a few years using Stata. I've been twisting my brain and checking several R and S references over the last few days to try to solve this data management problem: I have a data set with a unique patient identifier that is repeated along multiple rows, a variable with month of patient encounter, and a continous variable for cost of individual encounters. The data

I still need to do some repetitive statistical analysis on some outcomes from a dataset. Take the following as an example; id sex hiv age famsize bmi resprate 1 M Pos 23 2 16 15 2 F Neg 24 5 18 14 3 F Pos 56 14 23 24 4 F Pos 67 3 33 31 5 M Neg 34 2 21 23 I want to know if there are statistically detectable differences in all of the continuous variables in

Dear fellow R-help members, I hope to seek your advice on how to parse/manage a dataset with hundreds of columns. Two examples of these columns, 'cancer.problems', and 'neuro.problems' are depicted below. Essentially, I need to parse this into a useful dataset, and unfortunately, I am not familiar with perl or any such language. data <- data.frame(id=c(1:10))

Dear all, My question might be more of a statistics question than a question on R, although it's on how to apply the 'quantreg' package. Please accept my apologies if you believe I am strongly misusing this list. To be very brief, the problem is that I have data on only a random draw, not all of doctors' patients. I am interested in the, say, median number of patients of