Compute Cumulative Chi Square Density in R Programming – pchisq() Function Last Updated : 25 Jun, 2020 Improve Improve Like Article Like Save Share Report pchisq() function in R Language is used to compute cumulative chi square density for a vector of elements. It also creates a density plot for chi square cumulative distribution. Syntax: pchisq(vec, df) Parameters: vec: Vector of x-values df: Degree of Freedom Example 1: # R program to compute # Cumulative Chi Square Density # Create a vector of x-values x <- seq(0, 10, by = 1) # Calling pchisq() Function y <- pchisq(x, df = 5) y Output: [1] 0.00000000 0.03743423 0.15085496 0.30001416 0.45058405 0.58411981 [7] 0.69378108 0.77935969 0.84376437 0.89093584 0.92476475 Example 2: # R program to compute # Cumulative Chi Square Density # Create a vector of x-values x <- seq(0, 10, by = 0.1) # Calling pchisq() Function y <- pchisq(x, df = 5) # Plot a graph plot(y) Output: Like Article Suggest improvement Previous Compute Cumulative Cauchy Density in R Programming - pcauchy() Function Next Solve Linear Algebraic Equation in R Programming - solve() Function Share your thoughts in the comments Add Your Comment Please Login to comment...