I've studied R a little bit, although I haven't used it in some time (except via RCommander).  I'm working on my dissertation project and have spectrometer data that I need to evaluate.  I need to find a way to simplify the output from multi-way ANOVA so I can reduce the areas of the spectrum to only those where there are significant differences between sites.  (A preliminary study on a too-small sample size indicates that certain areas of the spectrum can distinguish between sites.  This project is the next step.)

The dataset is comprised of analyses done on samples from five separate locations, with 50 samples taken from each site.  The output of the spectrometer per sample is values for 2048 individual wavelengths, in a spreadsheet with the wavelength as the first column.  Since I'm doing the analysis wavelength-by-wavelength, I've transposed the data and broke the data for the project down into smaller spreadsheets (so that R can perform ANOVA on each wavelength).

The problem is, I can do ANOVA now on each wavelength, but I don't need a full output table for each... I just need to know if there is significant variation between any of the sites at that wavelength, based on 95% confidence level (or better).  If I could get some sort of simple chart (or a single line in a spreadsheet), that would help to narrow down the areas of the spectrum that I need to focus on to evaluate the results of the tests.

I've been reading information about ANOVA, but have found very little that is clear about formatting the output - and I don't need to rehash all of the math.  I just need to find out how to hack down the output to just the part I need (if possible).  Once that's done, I can decide what wavelengths are valuable for future tests and simplify the process.

Thanks for any help given!

Bob

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