Skip to content
Related Articles
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:

My Personal Notes arrow_drop_up