Hi Rick, I came across your posting that I had replied to. I had assumed from your posting that you had positive integer weights, and that you had a certain kind of stratified sampling. For a general case, you may want to look at "survey" package. Graphical representation of survey data, specially large surveys, is a good research issue in statistical graphics. R seems to be is suitable for doing this kind of work.
Anupam. Anupam Tyagi wrote the following on 8/31/2006 10:40 AM: > One solution is to simulate the population by repeating each row > "weight" number of times. This is inefficient. It may create a very > large dataset for a large sample survey. But some of graphs and other > things may turn out to your liking, depending upon how the functions are > written. > > Anupam. > > Rick Bischoff wrote the following on 8/30/2006 7:57 PM: >> The data sets I am working with all have a weight variable--e.g., >> each row doesn't mean 1 observation. >> >> With that in mind, nearly all of the graphs and summary statistics >> are incorrect for my data, because they don't take into account the >> weight. >> >> **** >> For example "median" is incorrect, as the quantiles aren't calculated >> with weights: >> >> sum( weights[X < median(X)] ) / sum(weights) >> >> This should be 0.5... of course it's not. >> **** >> >> Unfortunately, it seems that most(all?) of R's graphics and summary >> statistic functions don't take a weight or frequency argument. >> (Fortunately the models do...) >> >> Am I completely missing how to do this? One way would be to >> replicate each row proportional to the weight (e.g. if the weight was >> 4, we would 3 additional copies) but this will get prohibitive pretty >> quickly as the dataset grows. >> >> >> Thanks in advance! >> >> ______________________________________________ >> R-help@stat.math.ethz.ch mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
