Compute the Covariance between Two Vectors in R Programming – cov() Function Last Updated : 10 Jun, 2020 Improve Improve Like Article Like Save Share Report 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: [1] 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: [1] 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] 1.666667 Like Article Suggest improvement Previous Creating a Vector of sequenced elements in R Programming - seq() Function Next Compute the Correlation Coefficient Value between Two Vectors in R Programming - cor() Function Share your thoughts in the comments Add Your Comment Please Login to comment...