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Compute the value of CDF on Uniform Distribution in R Programming – punif() Function
• Last Updated : 03 Jul, 2020

In R programming, `punif()` function is used to compute the value of Cumulative Distribution Function(CDF).

Syntax:
punif(q, min = 0, max = 1, lower.tail = TRUE, log.p = FALSE)

Parameters:
q: represents vector of quantiles
min, max: represents lower and upper limits of the distribution
lower.tail: represents logical value. If TRUE, probabilities are P[X<=x]
log.p: represents logical value. If TRUE, probabilities are given as log(p)

Example 1:

 `# Create vector of random deviation ``u <- ``runif``(20)`` ` `punif``(u) == u`` ` `print``(``punif``(u))`

Output:

```  TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
 TRUE TRUE TRUE TRUE TRUE

 0.21571509 0.97224483 0.74654757 0.93053902 0.90868119 0.93048128
 0.41566382 0.52074950 0.41353715 0.48460207 0.63706965 0.16338451
 0.22761876 0.54239105 0.07045675 0.04363406 0.68484316 0.86928257
 0.06046589 0.29565811
```

Example 2:

 `# Output to be present as PNG file ``png``(file = ``"punifGFG.png"``) ``   ` `# Plot function ``curve``(``punif``(x, min = 2, max = 6), 0, 8, ylim = ``c``(0, 0.5), ``      ``ylab = ``"f(x)"``) ``   ` `# Saving the file ``dev.off``() `

Output: My Personal Notes arrow_drop_up