Shige Song wrote:>
>
> What is the preferred way to get Bayesian analysis results (such as
> those from MCMCpacki, MCMCglmm, and DPpackage) into LaTeX table
> automatically?
>
It depends on what you want as output. Let's assume the summary of an
MCMCpack function:
First direct it to a variable, and check the available data frames. Then
output these with latex.
If you do this very often: latex is a generic, so you could write a simple
function that creates customized output for a class "summary.mcmc".
For
example, it could output both statistics and quantiles together, and do
reasonable rounding based on the standard errors.
Dieter
library(MCMCpack)
library(Hmisc)
x<-rep(1:10,5)
y<-rnorm(50,mean=x)
qreg <- summary(MCMCquantreg(y~x))
str(qreg)
#List of 6
# $ statistics: num [1:3, 1:4] 0.3479 0.9029 0.3413 0.2602 0.0391 ...
# ..- attr(*, "dimnames")=List of 2
# .. ..$ : chr [1:3] "(Intercept)" "x" "sigma"
# .. ..$ : chr [1:4] "Mean" "SD" "Naive SE"
"Time-series SE"
# $ quantiles : num [1:3, 1:5] -0.139 0.825 0.257 0.168 0.878 ...
# ..- attr(*, "dimnames")=List of 2
# .. ..$ : chr [1:3] "(Intercept)" "x" "sigma"
# .. ..$ : chr [1:5] "2.5%" "25%" "50%"
"75%" ...
...
# - attr(*, "class")= chr "summary.mcmc"
latex(qreg$statistics,file="")
latex(qreg$quantiles,file="")
--
View this message in context:
http://n4.nabble.com/MCMC-results-into-LaTeX-tp1836393p1836723.html
Sent from the R help mailing list archive at Nabble.com.