cor

Correlation

Computes the correlation coefficient between two vectors. method = "pearson" (default) is the linear correlation. method = "spearman" ranks values first (average ranks for ties), then computes Pearson on ranks.

Parameters

• x (Vector | List): First numeric vector.

• y (Vector | List): Second numeric vector.

• na_rm (Bool): (Optional) Should missing values be removed? Default is false.

• weights (Vector[Float] | List[Float]): = NA Optional non-negative observation weights (Pearson only).

• method (String): = “pearson” Correlation method: “pearson” or “spearman”.

Returns

The correlation coefficient (-1 to 1).

Examples

cor(mtcars["mpg"], mtcars["wt"])