Some simple Matlab functions for calculating default Bayes Factors (BF10) quantifying the evidence in favour of H1 over H0. Credit for the intellectual development of these algorithms goes to the original authors. I simply got tired of the fact that these kinds of methods are never available in Matlab so I decided to translate them. Special thanks go to EJ Wagenmakers for helping fix a programming issue. You can download the whole set here. Note that the functions have been tested under Matlab R2014a. Under some earlier versions they require the Symbolic Math Toolbox to run because the *integral* function was not part of the core package then. Please contact me if you find any errors or if you have any suggestions.

**corrbf(r,n)**

BF10 for a correlation with Pearson’s r and sample size n.

*(See Wetzels et al., 2012 for details)*

**corrbfrep(r,n)**

BF10 for replicating a correlation with Pearson’s r and sample size n. Uses a uniform prior between 0-1 to test if correlation goes in same direction. If original r was negative, multiply r with -1.

*(See Boekel et al., 2014 for details)*

**t1smpbf(t,n,r)**

BF10 for a one-sample t-test with t-statistic t and sample size n. The additional input r is the scale factor. This defaults to 0.707 as is the case at Rouder’s website (http://pcl.missouri.edu/bayesfactor).

*(See Rouder et al., 2009 for details)*

**t2smpbf(t,nx,ny,r)**

BF10 for a two-sample t-test with t-statistic t and sample sizes nx and ny. The additional input r is the scale factor. This defaults to 0.707 as is the case at Rouder’s website (http://pcl.missouri.edu/bayesfactor).

*(See Rouder et al., 2009 for details)*

**binombf(k,n,p)**

BF10 for a binomial test with k successes, n trials overall, and base probability p. This is based on the Bayes Factor example on Wikipedia (http://en.wikipedia.org/wiki/Bayes_factor). It should be the same as the default prior assumed by Rouder’s web applet (http://pcl.missouri.edu/bf-binomial).