Compute the Correlation Coefficient Value between Two Vectors in R Programming – cor() Function Improve Improve Like Article Like Save Share Report 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 Last Updated : 10 Jun, 2020 Like Article Save Article Previous Calculate Inverse cosine of a value in R Programming - acos() Function Next Search the Interval for Minimum and Maximum of the Function in R Programming - optimize() Function Share your thoughts in the comments Add Your Comment Please Login to comment...