Closed mvuorre closed 8 years ago
Have you tried as.data.frame
?
library(BayesFactor)
data(puzzles)
bf = anovaBF(RT ~ shape*color + ID, data = puzzles, whichRandom = "ID")
as.data.frame(bf)[,1:2]
This will output:
bf error
shape + ID 2.802278 0.008411125
color + ID 2.771243 0.006189023
shape + color + ID 12.583364 0.073732004
shape + color + shape:color + ID 4.038964 0.013105122
The downside is that you lose the denominator, but if you're printing you can do:
bf@denominator
which will output:
---
Model:
Type: BFlinearModel, JZS
RT ~ ID
Data types:
ID : random
So you can make sure people know what the denominator is when you print it to another document.
You might also be interested in the BayesFactorExtras
package (https://github.com/richarddmorey/BayesFactorExtras) which has a function to print interactive HTML output using knitr
.
Wow, fast response. That's great, thank you!
In terms of using .Rmd & knitr to write manuscripts, I think it would be best if there was a function that wrote markdown tables (or formatted the output appropriately for knitr::kable()
to handle). But you are right, the simple solution loses necessary information. as.data.frame()
coupled with a good caption should do, though.
How about including a function for printing results from a Bayes Factor analysis into a data.frame? This would make it easier to knit .Rmd files with BF results in tables (.doc, LaTeX, etc.).
Something like this might suffice
Thanks for the great software.