Compute Randomly Drawn Chi Square Density in R Programming – rchisq() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report rchisq() function in R Language is used to compute random chi square density for a set of values. Syntax: rchisq(N, df) Parameters: N: Sample Size df: Degree of Freedom Example 1: # R program to generate # random chi square density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 20 # Calling rchisq() Function y <- rchisq(N, df = 10) y Output: [1] 7.208082 11.236799 3.780669 5.972266 12.174243 14.308333 3.886482 [8] 4.117081 13.015581 3.864009 8.494487 17.713528 2.411329 7.096494 [15] 4.546996 11.542960 9.683502 9.073933 11.120782 9.193626 Example 2: # R program to generate # random chi square density points # Setting seed for # random number generation set.seed(1000) # Set sample size N <- 500 # Calling rchisq() Function y <- rchisq(N, df = 10) # Plotting graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Logistic Density in R Programming - plogis() Function Next Compute Cumulative Logistic Density in R Programming - plogis() Function Share your thoughts in the comments Add Your Comment Please Login to comment...