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

Last Updated : 15 Jul, 2025

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: 
 


 

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Article Tags:
R Language
R Math-Function

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