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Compute Chi Square Density in R Programming – dchisq() Function
  • Last Updated : 25 Jun, 2020

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:

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