# Compute Randomly Drawn Chi Square Density in R Programming – rchisq() Function

• Last Updated : 25 Jun, 2020

`rchisq()` function in R Language is used to compute random chi square density for a set of values.

Syntax: rchisq(N, df)

Parameters:
N: Sample Size
df: Degree of Freedom

Example 1:

 `# R program to generate ``# random chi square density points`` ` `# Setting seed for``# random number generation``set``.seed(``1000``)`` ` `# Set sample size``N <``-` `20`` ` `# Calling rchisq() Function``y <``-` `rchisq(N, df ``=` `10``)``y `

Output:

``` [1]  7.208082 11.236799  3.780669  5.972266 12.174243 14.308333  3.886482
[8]  4.117081 13.015581  3.864009  8.494487 17.713528  2.411329  7.096494
[15]  4.546996 11.542960  9.683502  9.073933 11.120782  9.193626
```

Example 2:

 `# R program to generate ``# random chi square density points`` ` `# Setting seed for``# random number generation``set``.seed(``1000``)`` ` `# Set sample size``N <``-` `500`` ` `# Calling rchisq() Function``y <``-` `rchisq(N, df ``=` `10``)`` ` `# Plotting graph``plot(y)`

Output:

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