Perform the Inverse Probability Cumulative Density Analysis on t-Distribution in R Programming – qt() Function Improve Improve Like Article Like Save Share Report 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: Last Updated : 10 Mar, 2021 Like Article Save Article Previous Convert Radian value to Degree value in R Programming - rad2deg() Function Next Apply a Function over a Ragged Array in R Programming - tapply() Function Share your thoughts in the comments Add Your Comment Please Login to comment...