Statistical analysis: Comparison and false discovery rate.
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Hello,
This might be very trivial so please bear with me.
A = [a1 a2 a3 a4] B = [b1 b2 b3 b4]
Ho = [A-B]^2 = 0 i.e. A and B are the same.
AND I also want to correct for False Discovery Rate (multiple comparisons) & report values (eg. [a3-b3]^2) that are significantly larger than 0.
Please advise,
S
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the cyclist
el 28 de Sept. de 2011
You need to provide more description of what you want. It's not very clear, at least to me.
Do a1...a4 represent samples from a distribution, and b1...b4 represent samples as well? Are you trying to test if A and B are samples from the same distribution? If so, then you may be able to use ttest() or anova1(). The multcompare() function can be used for multiple comparison testing. (These functions are all in the Statistics Toobox.)
If those are not samples, it is not clear to me what you mean. If you just have a single value for A (but the elements are not a sample), and likewise for B, then I don't know how you can a statistical-style analysis.
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