Description Usage Arguments Value Examples
Calculates a Mahalanobis distance of a dataframe or a matrix. Option for robust centroid location.The Mahalanobis distance is a measure of distance between a point and a distribution. In this simplified case it's the difference between each point and centroid of the distribution produced by the points.
| 1 | mahal_dist(x, center = "mean", na.rm = TRUE)
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| x | Dataframe or matrix of numerical values | 
| center | Method to calculate distribution center, either mean or median | 
| na.rm | Whether to remove missing values for centroid calculation | 
vector of distances
| 1 2 3 4 5 | data(iris)
iris_values <- iris[,1:4]
mahal_dist(iris_values)
mahal_dist(iris_values, center = "median")
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