Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function Last Updated : 25 Jun, 2020 Comments Improve Suggest changes Like Article Like Report rlogis() function in R Language is used to compute random logistic density among a range of inputs. Syntax: rlogis(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 20 # Calling rlogis() Function y <- rlogis(N) y Output: [1] -0.71779506 1.14636578 -2.05114837 0.80365206 0.06563317 -2.62196720 [7] 1.03929969 0.33730220 -1.29048105 -1.06622107 -0.61931410 1.12795649 [13] -0.76720400 1.86443303 1.17562774 -2.54319669 -0.02953117 0.55442681 [19] -2.37810163 0.33889069 Example 2: Python3 1== # R program to generate # random logistic density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 500 # Calling rlogis() Function y <- rlogis(N) # Plot a graph plot(y) Output: Comment More infoAdvertise with us Next Article Compute Randomly Drawn Logistic Density in R Programming - rlogis() Function N nidhi_biet Follow Improve Article Tags : R Language R-Statistics Similar Reads Compute Randomly Drawn Poisson Density in R Programming - rpois() Function rpois() function in R Language is used to compute random density for poisson distribution. Syntax: rpois(N, lambda) Parameters: N: Sample Size lambda: Average number of events per interval Example 1: Python3 # R program to compute random # Poisson Density # Setting seed for # random number generatio 1 min read Compute Randomly Drawn Log Normal Density in R Programming - rlnorm() Function rlnorm() function in R Language is used to compute random log normal density among a range of inputs. Syntax: rlnorm(N) Parameters: N: Sample Size Example 1: Python3 1== # R program to generate # random log normal density points # Setting seed for # random number generation set.seed(1000) # Set samp 1 min read Compute Randomly Drawn F Density in R Programming - rf() Function rf() function in R Language is used to compute random density for F Distribution. Syntax: rf(N, df1, df2) Parameters: N: Sample Size df: Degree of Freedom Example 1: Python3 1== # R Program to compute random values # of F Density # Setting seed for # random number generation set.seed(1000) # Set sam 1 min read Compute Randomly Drawn Weibull Density in R Programming - rweibull() Function rweibull() function in R Language is used to compute random density for Weibull distribution. Syntax: rweibull(N, shape) Parameters: N: Sample Size shape: Shape Parameter Example 1: Python3 1== # R program to compute random # Weibull Density # Setting seed for # random number generation set.seed(100 1 min read Compute Randomly Drawn Chi Square Density in R Programming - rchisq() Function rchisq() function in R Language is used to compute random chi square density for a set of values. Syntax: rchisq(N, df) Parameters: N: Sample Size df: Degree of Freedom Example 1: Python3 1== # R program to generate # random chi square density points # Setting seed for # random number generation set 1 min read Like