R aov Function - adjusting the alpha value..?

Question

I have always used the aov() function however Im wondering if there is a way or another function that allows the user to define the alpha value..?#

I'm assuming these tend to be the industry standard of 0.05....what if I wanted my aov function to yield a P-value based on 0.03...or 0.01 alpha values...?

Please study some statistics introductory book. The alpha error value has no impact on the p value. — Roland, Jan 31 '14 at 14:48
This question appears to be off-topic because it is about statistics, not programming. — Joshua Ulrich, Jan 31 '14 at 14:52

score 2 · Answer 1 · answered Jan 31 '14 at 14:59

2

You can extract the p-values of the object returned by aov with

pvalues <- summary(fit)[[1]][ , 5, drop = FALSE]

where fit <- aov(...).

Now, you can compare the p-values with a certain alpha level, e.g., 0.01:

pvalues < 0.01

This returns TRUE or FALSE.

answered Jan 31 '14 at 14:59

Sven Hohenstein

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Thanks - I realised after posting that the determination is made by the actual P-value. – PaulBeales Feb 03 '14 at 08:49

R aov Function - adjusting the alpha value..?

1 Answers1