Compute the Value of Poisson Quantile Function in R Programming – qpois() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report qpois() function in R Language is used to compute the value of Poisson Quantile Function. It creates a quantile density plot for poisson distribution. Syntax: qpois(vec, lambda) Parameters: vec: Sequence of integer values lambda: Average number of events per interval Example 1: # R program to compute # Poisson Quantile Density # Sequence of x-values x <- seq(0, 1, by = .01) # Calling qpois() Function y <- qpois(x, lambda = 5) y Output: [1] 0 1 1 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 [19] 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 [37] 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 [55] 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 [73] 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7 8 8 8 [91] 8 8 8 8 9 9 9 10 10 11 Inf Example 2: # R program to compute # Poisson Quantile Density # Sequence of x-values x <- seq(0, 1, by = 0.01) # Calling qpois() Function y <- qpois(x, lambda = 15) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Exponential Distribution in R Programming - dexp(), pexp(), qexp(), and rexp() Functions Next Compute the Value of Negative Binomial Quantile Function in R Programming - qnbinom() Function Share your thoughts in the comments Add Your Comment Please Login to comment...