# Compute Randomly Drawn Weibull Density in R Programming – rweibull() Function

Last Updated : 25 Jun, 2020

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: