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:
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