Compute Cumulative Chi Square Density in R Programming – pchisq() Function
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: