Compute value of Quantile Chi Square Density in R Programming – qchisq() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report qchisq() function in R Language is used to compute value of chi square quantile function. It creates a quantile function plot for chi square distribution. Syntax: qchisq(vec, df) Parameters: vec: Vector of x-values df: Degree of Freedom Example 1: # R program to compute # Quantile Chi Square density # Create a vector of x-values x <- seq(0, 1, by = 0.1) # Calling qchisq() Function y <- qchisq(x, df = 5) y Output: [1] 0.000000 1.610308 2.342534 2.999908 3.655500 4.351460 5.131867 6.064430 [9] 7.289276 9.236357 Inf Example 2: # R program to compute # Quantile Chi Square density # Create a vector of x-values x <- seq(0, 1, by = 0.02) # Calling qchisq() Function y <- qchisq(x, df = 5) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Generate Data sets of same Random Values in R Programming - set.seed() Function Share your thoughts in the comments Add Your Comment Please Login to comment...