> Can you be a bit more excact? I a biologist and relatively new to R In that case, I would _strongly_ advise that you get advice from a local statistician.
> I am measureing the amount of DNA in cells, and I need to know the > percentage of cells in a part of the cell cycle; that the percentage > of cells in the first peak, in the second peak and so on. I want to > integrate the area between to two cells, because that apparently is > how its none (as far as I can tell from the literature) That doesn't sound quite right to me, because you also need to take into account the fact that some cells between peak 1 and 2 belong to peak 1, and some to peak 2. This is something that will come out immediately from a mixture based approach. If you know that peaks correspond to certain parts of the cell cycle, then this is important information that should be included in the analysis. > It very probably is better, but mclust had no result after running for > at least 2 hours (I terminated the function after two hours), and as I > generate 50-100 datasets, such as the one used for the histogram, as > week, I would like to find a faster solution I doubt that mclust is appropriate for this task, so letting it run longer wouldn't help anyway. Again I would suggest that you seek local statistical help. Hadley ______________________________________________ [email protected] 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.
