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# Compute the value of CDF on Uniform Distribution in R Programming – punif() Function

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:

``` [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
[16] TRUE TRUE TRUE TRUE TRUE

[1] 0.21571509 0.97224483 0.74654757 0.93053902 0.90868119 0.93048128
[7] 0.41566382 0.52074950 0.41353715 0.48460207 0.63706965 0.16338451
[13] 0.22761876 0.54239105 0.07045675 0.04363406 0.68484316 0.86928257
[19] 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: