Compute Chi Square Density in R Programming – dchisq() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report dchisq() function in R Language is used to compute chi square density for a vector of elements. It also creates a density plot for chi square distribution. Syntax: dchisq(vec, df) Parameters: vec: Vector of x-values df: Degree of Freedom Example 1: # R program to compute # Chi Square Density # Create a vector of x-values x <- seq(0, 10, by = 1) # Calling dchisq() Function y <- dchisq(x, df = 5) y Output: [1] 0.00000000 0.08065691 0.13836917 0.15418033 0.14397591 0.12204152 [7] 0.09730435 0.07437127 0.05511196 0.03988664 0.02833456 Example 2: # R program to compute # Chi Square Density # Create a vector of x-values x <- seq(0, 10, by = 0.1) # Calling dchisq() Function y <- dchisq(x, df = 5) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Compute Cumulative Chi Square Density in R Programming - pchisq() Function Share your thoughts in the comments Add Your Comment Please Login to comment...