Warning message: In k:30 : numerical expression has 13 elements: only the first used. The warning says the k only has 13 elements, but this should not be a problem because the rest of my data has 13 elements. I am not sure how to fix the problem. The root issue is because you can't do a sequence from multiple values - e.g.: c (1,2,3):3 gives
The probability in the first row is set to 0.1 but then the value in subsequent rows must use the probability from the previous row. I cannot figure out how to reference the value in the previous row.
We can get the probability that 5 people in a random 10-person sample would smoke using: SAS: R: PDF(’Binomial’, 5, .22, 10); dbinom(5, size = 10, prob = .22) This returns 3.7%, the same result we obtained in class. In R, you can leave out the size = and prob = , but if you do so, you have to have everything in a particular order. For example: 19. Binomial Distributions. One of the most important discrete distribution used in statistics is the binomial distribution . This is the distribution which counts the number of heads in n n independent coin tosses where each individual coin toss has the probability p p of being a head. The same distribution is useful when not tossing coins We can also use the binomial identity ( n k) = n k ( n − 1 k − 1). We obtain. (1) ∑ k = 1 n k ( n k) = n ∑ k = 1 n ( n − 1 k − 1) (2) = n ∑ k = 0 n − 1 ( n − 1 k) (3) = n 2 n − 1. Comment: In (1) we apply the binomial identity. In (2) we shift the index to start with k = 0. In (3) we apply the binomial theorem. Share.
Answer the above question using the dbinom() function. This function takes almost the same arguments as rbinom(). The second and third arguments are size and prob, but now the first argument is x instead of n. Use x to specify where you want to evaluate the binomial density.
As you can see the three parameter vectors x7, x1, and p are all of different lengths 14, 2, and 11, respectively. I can evaluate each combination by using one of the vectors (x7/x2 or p) in dbinom () and then selecting a value for the remaining parameter. As you can see below, I used the vector x7 or x2 and then "manually" changed the p to kEtN.
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    • how to use dbinom in r