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

Compute Randomly Drawn Chi Square Density in R Programming - rchisq() Function

Last Updated : 25 Jun, 2020

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.seed(1000)

# Set sample size
N <- 20

# Calling rchisq() Function
y <- rchisq(N, df = 10)
y

Output:

 [1]  7.208082 11.236799  3.780669  5.972266 12.174243 14.308333  3.886482
 [8]  4.117081 13.015581  3.864009  8.494487 17.713528  2.411329  7.096494
[15]  4.546996 11.542960  9.683502  9.073933 11.120782  9.193626

Example 2:

Python3 1==

# R program to generate 
# random chi square density points

# Setting seed for
# random number generation
set.seed(1000)

# Set sample size
N <- 500

# Calling rchisq() Function
y <- rchisq(N, df = 10)

# Plotting graph
plot(y)

Output:

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

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