YouTipR Func Runif
# R runif() Function - Generating Uniform Distribution Random Numbers
[ R Language Examples](#)
The R runif() function is used to generate random numbers that follow a uniform distribution.
Uniform distribution means that each value within a specified interval has an equal probability of appearing. It is often used as a base distribution in random sampling and simulation experiments.
The runif() function syntax format is as follows:
runif(n, min = 0, max = 1)
**Parameter Description:**
* **n** The number of random numbers to generate.
* **min** The minimum value, default is 0.
* **max** The maximum value, default is 1.
## Examples
# Generate 10 uniform distribution random numbers in [0, 1] interval
set.seed(123)
random_01 <-runif(10)
print("[0, 1] interval random numbers:")
print(round(random_01, 4))
# Generate random numbers in [10, 50] interval
set.seed(123)
random_range <-runif(10, min=10, max=50)
print("[10, 50] interval random numbers:")
print(round(random_range, 2))
The output result of executing the above code is:
"[0, 1] interval random numbers:" 0.2876 0.7883 0.4090 0.8830 0.9405 0.0456 0.5281 0.8924 0.5519 0.4566 "[10, 50] interval random numbers:" 21.50 41.53 26.36 45.32 47.62 11.82 31.12 45.70 32.08 28.26
runif() is very useful in Monte Carlo simulations:
## Examples
# Estimate pi value using Monte Carlo method
set.seed(123)
n <-10000
# Generate random points
x <-runif(n)
y <-runif(n)
# Calculate the proportion falling within the unit circle
inside <-(x^2+ y^2)<=1
pi_estimate <-4*mean(inside)
print(paste("Estimated pi value:", round(pi_estimate, 4)))
print(paste("Actual pi value:", pi))
The output result of executing the above code is:
"Estimated pi value: 3.156" "Actual pi value: 3.14159265358979"
[ R Language Examples](#)