Perform the Inverse Probability Cumulative Density Analysis on t-Distribution in R Programming - qt() Function

Perform the Probability Cumulative Density Analysis on t-Distribution in R Programming - pt() Function

Last Updated : 19 Jun, 2020

pt() function in R Language is used to return the probability cumulative density of the Student t-distribution.

Syntax: pt(x, df) Parameters: x: Random variable df: Degree of Freedom

Example 1:

Python3 1==

# R Program to perform
# Cumulative Density Analysis

# Calling pt() Function
pt(2, 10)
pt(.542, 15)

Output:

[1] 0.963306
[1] 0.7021105

Example 2:

Python3 1==

# R Program to perform
# Cumulative Density Analysis

# Creating a vector
x <- seq(1, 10, by = 1)

# Calling pt() Function
y <- pt(x, 2)

# Plotting probability distribution graph
plot(x, y, type ="l")

Output:

Perform the Inverse Probability Cumulative Density Analysis on t-Distribution in R Programming - qt() Function

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