Compute the Correlation Coefficient Value between Two Vectors in R Programming cor() Function (original) (raw)

Last Updated : 15 Jul, 2025

**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 vectorsmethod: Type of method to be used

Example 1:

Python3 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:

Python3 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 = "kendall"))

`

Output:

[1] 1

Example 3:

Python3 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 = "spearman"))

`

Output:

[1] 1