# Compute the Correlation Coefficient Value between Two Vectors in R Programming – cor() Function

`cor()` function in R Language is used to measure the correlation coefficient value between two vectors.
Syntax: cor(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``(cor(x, y, method ``=` `"pearson"``))  `

Output:
```[1] 0.9724702
```
Example 2:
 `# Data vectors  ``x <``-` `c(``1``, ``3``, ``5``, ``10``)  ``   ` `y <``-` `c(``2``, ``4``, ``6``, ``20``)  ``   ` `# Print covariance using Pearson method ``print``(cor(x, y, method ``=` `"kendall"``))  `

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

Output:
```[1] 1
```

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