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Compute the Covariance between Two Vectors in R Programming – cov() Function
• Last Updated : 10 Jun, 2020

`cov()` function in R Language is used to measure the covariance between two vectors.

Syntax: cov(x, y, method)

Parameters:
x, y: Data vectors
method: Type of method to be used

Example 1:

 `# Data vectors ``x <``-` `c(``1``, ``3``, ``5``, ``10``) ``   ` `y <``-` `c(``2``, ``4``, ``6``, ``20``) ``   ` `# Print covariance using Pearson method``print``(cov(x, y, method ``=` `"pearson"``)) `

Output:

``` 30.66667
```

Example 2:

 `# Data vectors ``x <``-` `c(``1``, ``3``, ``5``, ``10``) ``   ` `y <``-` `c(``2``, ``4``, ``6``, ``20``) ``   ` `# Print covariance using Pearson method``print``(cov(x, y, method ``=` `"kendall"``)) `

Output:

``` 12
```

Example 3:

 `# Data vectors ``x <``-` `c(``1``, ``3``, ``5``, ``10``) ``   ` `y <``-` `c(``2``, ``4``, ``6``, ``20``) ``   ` `# Print covariance using Pearson method``print``(cov(x, y, method ``=` `"spearman"``)) `

Output:

``` 1.666667
```

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