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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