Hi, I am trying to analyze a data set when nematodes were killed after a drug administration.
We have counted the number of nematode died and the number of nematode survival at three time points. So, there are 100% died in some plot and could be found zero percent in another. Then, the data set have a lot of zeros. I have googled and found a lot of information. Moreover, my data isn't adjust to a normal distribution. I have transformed it to square root, but, due to zeros, it don't fit to a normal. The design is a split-plot. I divided a Petri dish in four parts and each day we measured one of they. Here is a sample of the data: trat rep time killed living percent.killed percent.living 1 1 48 8 6 57.14 42.86 1 2 48 17 15 53.13 46.88 1 3 48 6 4 60.00 40.00 1 1 72 17 15 53.13 46.88 1 2 72 24 33 42.11 57.89 1 3 72 11 0 100.00 0.00 1 1 96 18 28 39.13 60.87 1 2 96 19 6 76.00 24.00 1 3 96 9 10 47.37 52.63 2 1 48 7 2 77.78 22.22 2 2 48 10 4 71.43 28.57 2 3 48 8 2 80.00 20.00 2 1 72 5 2 71.43 28.57 2 2 72 14 13 51.85 48.15 2 3 72 30 1 96.77 3.23 2 1 96 2 6 25.00 75.00 2 2 96 11 15 42.31 57.69 2 3 96 3 2 60.00 40.00 3 1 48 8 8 50.00 50.00 3 2 48 6 7 46.15 53.85 3 3 48 0 2 0.00 100.00 3 1 72 3 3 50.00 50.00 3 2 72 5 1 83.33 16.67 3 3 72 18 10 64.29 35.71 3 1 96 4 0 100.00 0.00 3 2 96 0 0 0.00 0.00 3 3 96 18 19 48.65 51.35 We have counted killed and living because free-living nematode reproduce very fast, so I need to know the number of living in the medium. What you suggest me for analyze this on R? What transformation I could do? There were a specific package for that? Have you did something like this? Thank you very much -- Marcelo Luiz de Laia Lages - SC - Brazil Linux user number 487797 ______________________________________________ R-help@r-project.org 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.
