Is there a better way to get the index of a minimum? Consider the following reproducible example: 

# note that lh is a standard ts dataset that ships with R 
lh
# fit an R model   
ar.mle&lt;-ar(lh,method="mle")

# now get the min AIC, this is the relevant line:
ar.mle$aic[ar.mle$aic==min(ar.mle$aic)]


This works fine and gives back the smallest AIC value and it's index, which is the suggested AR order. I feel I am repeating myself in this last line of code. Is there an easier way to obtain index and value? 
I know I could use partial autocorrelations to determine the level, too. This is not a stats question, but an R indexing question.
perhaps the function which.min() would do the trick?

which.min(ar.mle$aic)


it won't shorten your code all that much:

ar.mle$aic[which.min(ar.mle$aic)]