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I am a new R user. As a test, I want to write a simple code that does the following simulation: 1. Randomly generate a number from a distribution, say, Poisson. Let's say that number is 3. 2. Randomly generate 3 numbers from another distribution, say, Normal. 3. Compute the sum of the numbers generated in step 2 and read it into a vector, V. 4. Repeat steps 1 through 3 for 100,000 times. 5.

I saw a Help e-mail related to MLE. Does R have a probability weighted method (PWM) estimator function? I can't seem to find anything on PWM, unless my eyes are playing trick on me. [[alternative HTML version deleted]]

I have a question related to matrix(). The code below randomly generates 3 Poisson numbers into a 3 by 1 matrix: > matrix1 <- matrix(rpois(3,lambda=2),nrow=3,ncol=1) And I use list() to see what they are: [,1] [1,] 3 [2,] 1 [3,] 4 , which is what I had intended. I then I want to randomly generate y Normal numbers into a 3 by 8 matrix. y in this case would be 3, 1, and 4; so