Compute the Cumulative Poisson Density in R Programming - ppois() Function Last Updated : 25 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report ppois() function in R Language is used to compute the cumulative density function for Poisson distribution. Syntax: ppois(vec, lambda) Parameters: vec: Sequence of integer values lambda: Average number of events per interval Example 1: Python3 1== # R program to compute # Cumulative Poisson Density # Sequence of x-values x <- seq(-10, 10, by = 1) # Calling ppois() Function y <- ppois(x, lambda = 5) y Output: [1] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 [7] 0.000000000 0.000000000 0.000000000 0.000000000 0.006737947 0.040427682 [13] 0.124652019 0.265025915 0.440493285 0.615960655 0.762183463 0.866628326 [19] 0.931906365 0.968171943 0.986304731 Example 2: Python3 1== # R program to compute # Cumulative Poisson Density # Sequence of x-values x <- seq(1, 20, by = 1) # Calling ppois() Function y <- ppois(x, lambda = 10) # Plot a graph plot(y) Output: Comment More infoAdvertise with us Next Article Compute the Cumulative Poisson Density in R Programming - ppois() Function N nidhi_biet Follow Improve Article Tags : R Language R Statistics Similar Reads Compute Cumulative Logistic Density in R Programming - plogis() Function plogis() function in R Language is used to compute logistic cumulative density of the distribution. It also creates a plot of the density of the logistic cumulative distribution. Syntax: plogis(vec) Parameters: vec: Vector of x-values for density Example 1: Python3 1== # R program to calculate # cum 1 min read Compute Cumulative Chi Square Density in R Programming - pchisq() Function pchisq() function in R Language is used to compute cumulative chi square density for a vector of elements. It also creates a density plot for chi square cumulative distribution. Syntax: pchisq(vec, df) Parameters: vec: Vector of x-values df: Degree of Freedom Example 1: Python3 1== # R program to co 1 min read 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 Cumulative Log Normal Probability Density in R Programming - plnorm() Function plnorm() function in R Language is used to compute the log normal value of the cumulative probability density function. It also creates a plot of the cumulative distribution of log normal density. Syntax: plnorm(vec) Parameters: vec: x-values for normal density Example 1: Python3 1== # R program to 1 min read Compute Cumulative Cauchy Density in R Programming - pcauchy() Function pcauchy() function in R Language is used to calculate the cumulative cauchy density. It also creates a density plot of cauchy cumulative distribution. Syntax: pcauchy(vec, scale) Parameters: vec: x-values for cauchy function scale: Scale for plotting Example 1: Python3 1== # R Program to compute cum 1 min read Like