Compute the Value of Negative Binomial Quantile Function in R Programming – qnbinom() Function Improve Improve Like Article Like Save Share Report qnbinom() function in R Language is used to compute the value of negative binomial quantile function. It also creates a density plot of the negative binomial quantile function. Syntax: qnbinom(vec, size, prob) Parameters: vec: x-values for binomial density size: Number of trials prob: Probability Example 1: # R program to compute value of # Negative Binomial Quantile Function # Vector of x-values x <- seq(0, 1, by = 0.1) # Calling qnbinom() Function y <- qnbinom(x, size = 100, prob = 0.5) y Output: [1] 0 82 88 92 96 99 103 107 112 118 Inf Example 2: # R program to compute value of # Negative Binomial Quantile Function # Vector of x-values x <- seq(0, 1, by = 0.01) # Calling qnbinom() Function y <- qnbinom(x, size = 100, prob = 0.8) # Plot a graph plot(y) Output: Last Updated : 25 Jun, 2020 Like Article Save Article Previous Create Random Deviates of Uniform Distribution in R Programming - runif() Function Next Compute Randomly Drawn Negative Binomial Density in R Programming - rnbinom() Function Share your thoughts in the comments Add Your Comment Please Login to comment...