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

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

Last Updated : 10 Mar, 2021

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

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

Example 1:

Python3

# R Program to perform Inverse
# Cumulative Density Analysis

# Calling qt() Function
qt(.95, 10)
qt(.542, 15)

Output:

[1] 1.812461
[1] 0.1072654

Example 2:

Python3

# R Program to perform Inverse
# Cumulative Density Analysis

# Creating a vector
x <- seq(.1, .9, by = .1)

# Calling qt() Function
y <- qt(x, 15)

# 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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