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:
x < - seq( 0 , 10 , by = 1 )
y < - dchisq(x, df = 5 )
y
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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:
x < - seq( 0 , 10 , by = 0.1 )
y < - dchisq(x, df = 5 )
plot(y)
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Output:
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