Binary response with temporal explanatory variables
240 plots (with a 160 soybean plants) in a field where we measure a continuous response for each of 8 wavelengths repeated over 12 days that are close but not quite equally spaced. In addition, we measure a binary SDS diseased/not diseased status. Both the wavelength measurements and diseased status are measured at the plot level.
Client wants to do a functional analysis based on a suggestion from their advisor.
Want to classify disease status based on wavelength information.
Will disease status of plots affect nearby plots?
Use final disease status as the response. For each timepoint and wavelength, perform a t-test with the two groups determined by disease status. See how the significance changes temporally.
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