search for: transfused

Hi R-users, I'm new to R and I'm trying to make a barplot combined with two lines (refering to secondary y-axis). Bars should represent the number of transfused patients by age class and sex and lines should represent the amount of blood units given in age classes. I have now successfully made a barplot and used par(new=TRUE) to plot another empty graph at the top of the barplot. #tab-table: # ikar_new #sp 0-9 10-19 20-29 30-39 40-49 50-59 60...

We are currently looking for a Director Biostatistics and Data Management in our Cambridge MA facility. We are looking for 7+ years of Statistical Analysis in a Biotech / Pharmaceutical environment with Phase 2 and Phase 3 clinical trial data. Experience with clinical protocol design, coordination of clinical database design requirements, statistical planning and preparation of regulatory

Dear List, Below is a simple, standard loss model that takes into account the terms of an insurance policy: deductible <- 15 coverage.limit <- 75 insurance.threshold <- deductible + coverage.limit tmpf <- function() { loss <- rlnorm(rpois(1, 3), 2, 5) sum(ifelse(loss > insurance.threshold, loss - coverage.limit, pmin(loss, deductible))) } net <- replicate(1000000, tmpf())

Please help me evaluate a "dynamic variable" as show in the code snippet below. # regular variable a = c(1,2,3,4) # dynamic variable set at runtime DV = "a" eval(DV) --> a eval(eval(DV)) --> a # what I want something_goes_here(DV) --> 1,2,3,4 Can someone teach me how to do this? Thanks very much. - Bobby

Debuggers, I wrote to r-help about this and was appropriately told off by Peter Dalgaard. I append that mail in case you have not seen it. Following Peter's advice I have attempted to simplify the problem. First note that the following does *not* fail (by which I mean crash, as in generate a memory access violation): > tmp<-matrix(c(1,0,0,1,1,1),2,3) >

I would like to be able to randomise presence-absence (i.e. binary) matrices whilst keeping both the row and column totals constant. Is there a function in R that would allow me to do this? I'm working with vegetation presence-absence matrices based on field observations. The matrices are formatted to have sites as rows and species as columns. The presence of a species on a site is