Compute the Negative Binomial Density in R Programming - dnbinom() Function Last Updated : 25 Jun, 2020 Comments Improve Suggest changes Like Article Like 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: Python3 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: Python3 1== # 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: Comment More infoAdvertise with us Next Article Compute the Negative Binomial Density in R Programming - dnbinom() Function N nidhi_biet Follow Improve Article Tags : R Language R Statistics Similar Reads Compute the Negative Binomial Cumulative Density in R Programming - pnbinom() Function pnbinom() function in R Language is used to compute the value of negative binomial cumulative density. It also creates a density plot of the negative binomial cumulative distribution. Syntax: pnbinom(vec, size, prob) Parameters: vec: x-values for binomial density size: Number of trials prob: Probabi 1 min read Compute the Logistic Density in R Programming - dlogis() Function dlogis() function in R Language is used to compute logistic density of the distribution. It also creates a plot of the density of the logistic distribution. Syntax: dlogis(vec) Parameters: vec: Vector of x-values for density Example 1: Python3 1== # R program to calculate # logistic density # Create 1 min read Compute the Value of Negative Binomial Quantile Function in R Programming - qnbinom() Function 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 Ex 1 min read Compute the Value of F Density in R Programming - df() Function df() function in R Language is used to compute the density of F Distribution over a sequence of numeric values. It also plots a density graph for F Distribution. Syntax: df(x, df1, df2) Parameters: x: Numeric Vector df: Degree of Freedom Example 1: Python3 1== # R Program to compute # F Density # Cr 1 min read Compute the Value of Poisson Density in R Programming - dpois() Function dpois() function in R Language is used to compute the Poisson Density for a set of Integer values. It also creates a density plot of poisson distribution. Syntax: dpois(vec, lambda)Parameters: vec: Sequence of integer values lambda: Average number of events per interval Example 1: Python3 # R pro 1 min read Like