Use Function importance() which defines the importance or order of fields in a decision tree.
The functions return a data frame with field names, accuracy for each prediction and accuracy is displayed.
Ex: Importance(randomforest_model).
mtcars.rf <- randomForest(mpg ~ ., data=mtcars)
> importance(mtcars.rf)
%IncMSE IncNodePurity
cyl 17.311478 180.55303
disp 20.064044 250.82581
hp 17.506333 187.55177
drat 7.041252 61.64077
wt 18.566081 248.37960
qsec 3.518307 32.91833
vs 5.418713 26.88210
am 5.296174 17.83260
gear 3.807433 19.50622
carb 7.725077 28.68420