Extracting coefficient from matrix after bayes command

[Madu Abuchi]

Can anyone please suggest how I can extract the coefficient of my explanatory variable after using the Bayes command? Example below

sysuse auto, clear
bayesmh foreign trunk mpg, likelihood(logit) prior({foreign:}, normal(0,1000))

mat list e(mean)

result of mat list

e(mean)[1,3]
trunk    mpg    _cons
Mean  -.13484497    .11758344    -1.7574044

I want to extract mean of trunk and mpg only in a postfile but not sure how to define the matrix for each of the explanatory variables.

My try shows an error message:

postfile examp trunk using "bay.dta", replace
bayesmh foreign trunk mpg, likelihood(logit) prior({foreign:}, normal(0,1000))
post examp (e(mean))
postclose examp

type mismatch
post: above message corresponds to expression 1, variable means
r(109);

any suggestion is appreciated

[Bjarte Aagnes]

post expect expressions representing single values, not a matrix. Refer to the elements you want to save:

post examp (el(e(mean),1,1))  (el(e(mean),1,2))

or

tempname trunk
tempname mpg

scalar `trunk' = el(e(mean),1,1)
scalar `mpg' = el(e(mean),1,2)  

post examp (`trunk') (`mpg')