R Programming Language - Introduction

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:

Python3 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:

Python3 1==

# 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:

R Programming Language - Introduction

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