Compute Randomly Drawn Weibull Density in R Programming – rweibull() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report 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: # R program to compute random # Weibull Density # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 20 # Calling rweibull() Function y <- rweibull(N, shape = 0.5) y Output: [1] 1.24347372 0.07615159 4.71808321 0.13687770 0.43674779 7.24744843 [7] 0.09171405 0.29014465 2.35173196 1.85531597 1.10250171 0.07863894 [13] 1.31925387 0.02076093 0.07234868 6.85850214 0.50129483 0.20600265 [19] 6.08499134 0.28943273 Example 2: # R program to compute random # Weibull Density # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 100 # Calling rweibull() Function y <- rweibull(N, shape = 0.5) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute the Value of Geometric Quantile Function in R Programming - qgeom() Function Next Compute the value of CDF over Studentized Range Distribution in R Programming - ptukey() Function Share your thoughts in the comments Add Your Comment Please Login to comment...