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Compute the Value of Quantile Function over Uniform Distribution in R Programming - qunif() Function

Last Updated : 03 Jul, 2020
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In R programming, qunif() function gives the value of quantile function over Uniform Distribution.
Syntax: qunif(p, min, max, lower.tail = TRUE, log.p = FALSE) Parameters: p: represents probabilities vector min, max: represents lower and upper limits of the distribution lower.tail: represents logical value. If TRUE, probabilities are P[Xx] log.p: represents logical value. If TRUE, probabilities are given as log(p)
Example 1: r
# R program to find the value of
# Quantile Function

# Creating a vector
x <- seq(0, 1, by = 0.2)

# qunif() function
qunif(x, min = 2, max = 6)
Output:
[1] 2.0 2.8 3.6 4.4 5.2 6.0
Example 2: r
# Create variables
x <- seq(0, 1, by = 0.02)
y <- qunif(x, min = 1, max = 5)

# Output to be present as PNG file
png(file = "qunifGFG.png")

# Plot
plot(y, type = "o") 

# Saving the file
dev.off()
Output:

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