Dear Milan, Thank you for this information. I think that it will prove to be very useful for my needs.
Regards, Don On Wednesday, September 24, 2014 3:29:00 AM UTC-4, Milan Bouchet-Valat wrote: > > Le mardi 23 septembre 2014 à 17:45 -0700, Jason Knight a écrit : > > Donald, > > > > I would enjoy seeing your code once you release it. I'm doing research > with Bayesian bioinformatics models using MCMC. > > > > You can place all your MCMC samples in a DataFrame and then call > describe on it to get a very similar output to what you described. > > > > You can also write your own inspired from the definition > <https://github.com/JuliaStats/DataFrames.jl/blob/cb9cd7f4c72eb49efd94d722731919a4086f683c/src/dataframe/dataframe.jl#L683> > > of the describe function. Or instead of using rpad to get the spacing > right, you can use @printf or @sprintf instead. > > You can also take inspiration from coeftable from StatsBase. One could > even imagine extending it to show either p-values (as is done currently) or > confidence intervals (as you apparently need), since different models > and/or different users are going to want to get either or both. > > Regards >
