Compute the value of F Cumulative Distribution Function in R Programming - pf() Function

Compute the Value of Cumulative Weibull Density in R Programming - pweibull() Function

Last Updated : 25 Jun, 2020

pweibull() function in R Language is used to compute the value of Cumulative Distribution Function for Weibull Distribution. It also plots a density graph for Cumulative Weibull Function.

Syntax: pweibull(x, shape) Parameters: x: Numeric Vector shape: Shape Parameter

Example 1:

Python3 1==

# R Program to compute
# Cumulative Weibull Density

# Creating a sequence of x-values
x <- seq(-5, 15, by = 1)

# Calling pweibull() Function
y <- pweibull(x, shape = 0.2)
y

Output:

 [1] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.6321206
 [8] 0.6829508 0.7122695 0.7327332 0.7483534 0.7609229 0.7713981 0.7803493
[15] 0.7881434 0.7950303 0.8011877 0.8067464 0.8118052 0.8164408 0.8207138

Example 2:

Python3 1==

# R Program to compute
# Cumulative Weibull Density

# Creating a sequence of x-values
x <- seq(-5, 15, by = 0.2)

# Calling pweibull() Function
y <- pweibull(x, shape = 0.5)

# Plot a graph
plot(y)

Output:

Compute the value of F Cumulative Distribution Function in R Programming - pf() Function

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