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

• Last Updated : 25 Jun, 2020

`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:

```  0.00000000 0.03743423 0.15085496 0.30001416 0.45058405 0.58411981
 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: My Personal Notes arrow_drop_up