# var.test and bayes factors

I ran an F-test to compare the variances of two samples from normal populations with the base R command var.test. I wanted to extract the Bayes Factor (BF) from it by using the oneWayAOV.Fstat command, but I got weird negative numbers such as:

oneWayAOV.Fstat(2.5764, 72, 2)$bf # 10BF [1] -0.5450246 1/oneWayAOV.Fstat(1.2587, 72, 2)$bf # 01BF [1] -0.8737903

As far as I could understand, BFs should never be negative... What is happening here?

Thanks!

## Comments

I'll pass this one on to Richard...

Those are log Bayes factors (see https://www.rdocumentation.org/packages/BayesFactor/versions/0.9.12-4.2/topics/oneWayAOV.Fstat).

Well, I did not catch that. Sorry, that was pretty easy to debug. Can I ask what the purpose of calculating log BFs?

For raw BFs, the scale is asymmetrical: evidence for H0 (say) goes from 0 to 1, whereas evidence for H1 goes from 1 to infinity. So a BF of 1/200 is of the same strength as a BF of 200. If you take the log, evidence for H0 is -x, and the same strength of evidence for H1 is +x. In some very specific situations, you can also add the log BFs (instead of multiplying the BFs).

Cheers,

E.J.