result <- rep(0,10000)# 10000 simulated rolls for(i in 1:10000) result[i] <- sample(1:6,1)+sample(1:6,1) table(result) prob1 <- table(result)/ # simulated probabilities prob1 outcomes<-c(2:12) prob2<-rep(0,11) for(i in 1:6) for(j in 1:6){ prob2[outcomes==(i+j)] <- prob2[outcomes==(i+j)]+(1/6)*(1/6)} prob2