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Thanks Claudia, Meanwhile I implemented a simple function to evaluate the Youden-Index and subsequently all other parameters. This is sufficient for my purpose. Cheers, Christian
Hi, I have some questions for the wireframe function of the lattice package. My dataset's "x-data" are sampled logarithmically and as such I would like to have a semilogarithmic 3D plot when plotting a time series. Does anyone...
> > flags <- c(rep(1, length(patient_indices)), rep(0, > > length(control_indices))) > > # dataset is a data.frame and param the parameter to be analysed: > > data1 <- dataset[,param][c(patient_indices, control_indices)] > > fit1 <- glm(flags ~ data1, family = binomial) > > new.data...
Hi, I would like to tabulate the likelihood for an affection. For this, I retrieve indices of affected people and controls for my data set and proceed as follows: flags <- c(rep(1, length(patient_indices)), rep(0, length(control...
Hi, You are right - I promise improvement of my way to ask. Anyhow, thanks to your comparisons I got much better insight in the way plotting environments can be altered - and have my solution. Thank you. Christian ________________________________________ From: Sarah Goslee...
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