Compute the Negative Binomial Density in R Programming – dnbinom() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report dnbinom() function in R Language is used to compute the value of negative binomial density. It also creates a plot of the negative binomial density. Syntax: dnbinom(vec, size, prob) Parameters: vec: x-values for binomial density size: Number of trials prob: Probability Example 1: # R program to compute # Negative Binomial Density # Vector of x-values x <- seq(0, 10, by = 1) # Calling dnbinom() Function y <- dnbinom(x, size = 10, prob = 0.5) y Output: [1] 0.0009765625 0.0048828125 0.0134277344 0.0268554688 0.0436401367 [6] 0.0610961914 0.0763702393 0.0872802734 0.0927352905 0.0927352905 [11] 0.0880985260 Example 2: # R program to compute # Negative Binomial Density # Vector of x-values x <- seq(0, 100, by = 1) # Calling dnbinom() Function y <- dnbinom(x, size = 10, prob = 0.5) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute the Value of Geometric Quantile Function in R Programming - qgeom() Function Next Compute the Negative Binomial Cumulative Density in R Programming - pnbinom() Function Share your thoughts in the comments Add Your Comment Please Login to comment...