How to load already computed confusion matrix to be used with the caret package in R

Question

I have trained a Random Forest classifier ( randomForest package) and it returns also the confusion matrix.

I want to compute sensitivity and specificity for each class, so I decided to load the confusion matrix with the caret package. However I did not find how to load it. How can I achieve it?

Answer 1

Thanks to Sowmya's comments, I achieve it by using the following code:

library(caret)
confusionMatrix(clf$predicted, labels)

where clf is the result of the execution of randomForest() call, while labels is the lists of reference labels of the output variable.