A computer store is planning to launch a new laptop. The manager has the option of deferring the launch date or proceeding as planned. If the date is rescheduled, a general administrative cost of $1000 is incurred. The event has a 50% chance of succeeding if everything goes according to plan. If the event is a success, there is a probability of 0.6 that the demand is good and will result in an estimated profit of $10,000, but if the demand is weak, only $5000 will be generated. If the event fails, no profit will be made and a cost of $5000 will be incurred. Develop a decision tree using R to determine whether the event should be postponed or go as planned.